Relevant bibliographies by topics / CIE Lab color space

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'CIE Lab color space'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "CIE Lab color space"

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Lozhkin, Leonid D., and Alexander A. Kuzmenko. "Investigation of CIE color spaces for differences in color differentiation thresholds in different regions of the color locus." Physics of Wave Processes and Radio Systems 24, no. 3 (2021): 107–10. http://dx.doi.org/10.18469/1810-3189.2021.24.3.107-110.

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The equidistance of the color space plays a significant role in determining the color difference in color transmission systems. Strictly equal contrasting color spaces can be considered only those color spaces in which equal changes in the visual perception of color are provided with an equal change in the color coordinates in this color space. Currently, the International Commission on Lighting (CIE) has adopted a number of color spaces called equal-contrast. The article presents the results of the study of color spaces adopted by CIE for equal contrast, i.e. on the differences in the thresholds of color differentiation in different areas of the color locus. The article investigated such color spaces as CIE 1931 (RGB), CIE 1931 (x, y), CIE 1960 (u, v), CIE 1976 (u*, v*), CIE LAB (a*, b*).
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Tong, Li Ping, Bin Peng, and Yi Wei Fei. "The Color Recognition of Jet Fuel Silver Corrosion Images Based on Color Difference Formula." Advanced Materials Research 503-504 (April 2012): 1033–36. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1033.

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This article introduces the basic theoretical knowledge of the multi-color space and its color difference formula. By research and experiment, it validates that HSV and CIE L * a * b * color space and its corresponding color difference formula, which are used in the color recognition of jet fuel silver corrosion image, and their results are mostly in accordance with the recognition results by the naked eyes. And it also proves the feasibility of these two methods for the color recognition of jet fuel silver corrosion. Silver strip corrosion experiment must be tested as one of jet fuel corrosion detection items in jet fuel accepting, providing and storage process. The examination, whether jet fuel is qualified or not, is mainly due to silver corrosion’s color judgment. For computer visual system, the color is the character of object surface, and it is mankind recognition system to the object surface, light shine and visual condition’s comprehensive effect, and it has important function in the picture’s partition and identifying field. The color that is put up by visible light is continuous, and in order to measure and calculate conveniently, some scholars successively establish more than ten color spaces, which are mainly divided three types, by the HSV color space with RGB, HIS, and Munsell color spaces etc. According to particular application color space, YUV and YIQ and CMY color space are adopted by the television system, and CIE color space then includes CIE, XYZ, Lab and Luv etc. This article comparatively studies representative color space as well as RGB, HIS, CMY, YUV and CIE Lab color spaces, which are used for jet fuel silver strip corrosion image’s color recognition accuracy, and this article finally ensures a kind of color space and color difference formula which are applied to jet fuel silver strip corrosion image’s color recognition.
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Male, Philippe. "Color Management System." Microscopy and Microanalysis 7, S2 (2001): 842–43. http://dx.doi.org/10.1017/s1431927600030282.

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Perception of color. in 1917, Alfred Munsell created a “notation of colors” based on the human perception of colors (Fig 1). The “tri stimuli” sensitivity of red, green and blue of the eye cones allows humans to live in an additive color space. Munsell showed that any color is defined by three components: 1-Hue, similar to different visible wavelengths. 2-Chromaticity or saturation, similar to concentration of dyes. 3-Value or brightness, representing black and white.Color Space and Gamut. Three conditions must be met to know the existence of an object, they are 1- An Illuminant (5000°K for photography), 2- An Object (Reflective, Transmissive or Emitting), 3- An Observer (Viewer, monitor, camera, detector). in 1931 La Compagnie Internationale de l’Eclairage, or CIE, met to develop a standard. This resulted in the CIE Color Space defined as a 3D volume of gamut of colors (Fig 2). Different vector notations can be used to define colors: Hue Saturation Lightness or Value (HSL or HSV), RGB (Red Green Blue), Lab (Lightness and two coordinates), and CMYK (Cyan Magenta Yellow Black).
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Sari, Filiz, and Ali Burak Ulas. "Deep Learning Application in Detecting Glass Defects with Color Space Conversion and Adaptive Histogram Equalization." Traitement du Signal 39, no. 2 (2022): 731–36. http://dx.doi.org/10.18280/ts.390238.

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Manually detecting defects on the surfaces of glass products is a slow and time-consuming process in the quality control process, so computer-aided systems, including image processing and machine learning techniques are used to overcome this problem. In this study, scratch and bubble defects of the jar, photographed in the studio with a white matte background and a -60° peak angle, are investigated with the Yolo-V3 deep learning technique. Obtained performance is 94.65% for the raw data. Color space conversion (CSC) techniques, HSV and CIE-Lab Luv, are applied to the resulting images. V channels select for preprocessing. While the HSV method decreases the performance, an increase has been observed in the CIE-Lab Luv method. With the CIE-Lab Luv method, to which is applied the adaptive histogram equalization, the maximum recall, precision, and F1-score reach above 97%. Also, Yolo-V3 compared with the Faster R-CNN, it is observed that Yolo-V3 gave better results in all analyzes, and the highest overall accuracy is achieved in both methods when adaptive histogram equalization is applied to CIE-Lab Luv.
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Luo, Yun Hui, and Mao Hai Lin. "Three-Dimensional Color Gamut Visualization of Digital Output Device Based on ICC Profile." Applied Mechanics and Materials 262 (December 2012): 36–39. http://dx.doi.org/10.4028/www.scientific.net/amm.262.36.

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As color gamut of digital output device greatly affects image appearance, accurate and effective gamut description for output device is intensively required for developing high-quality image reproduction technique based on gamut mapping. In this paper, we present a novel method to determine color gamut of output device by using a specific 3D reconstruction technology and device ICC profile. First, we populate the device color space by uniform sampling in the RGB 3-Dimensional space, and convert these sampling points to CMYK color space. Then, we work out the CIE LAB value of these points according to the ICC profile of output device. At last, in CIE LAB color space the boundary of these points is determined by using a gamut boundary descriptor based on Ball-Pivoting Algorithm (BPA) proposed by Bernardini. Compared with the results generated by ICC3D, our proposed method can compute device gamut more efficiently and at the same time give a more accurate gamut description of the output device. It will be help to develop effective gamut mapping algorithms for color reproduction.
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Xue, Yongan, Jinling Zhao, and Mingmei Zhang. "A Watershed-Segmentation-Based Improved Algorithm for Extracting Cultivated Land Boundaries." Remote Sensing 13, no. 5 (2021): 939. http://dx.doi.org/10.3390/rs13050939.

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To accurately extract cultivated land boundaries based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm was proposed herein based on a combination of pre- and post-improvement procedures. Image contrast enhancement was used as the pre-improvement, while the color distance of the Commission Internationale de l´Eclairage (CIE) color space, including the Lab and Luv, was used as the regional similarity measure for region merging as the post-improvement. Furthermore, the area relative error criterion (δA), the pixel quantity error criterion (δP), and the consistency criterion (Khat) were used for evaluating the image segmentation accuracy. The region merging in Red–Green–Blue (RGB) color space was selected to compare the proposed algorithm by extracting cultivated land boundaries. The validation experiments were performed using a subset of Chinese Gaofen-2 (GF-2) remote sensing image with a coverage area of 0.12 km2. The results showed the following: (1) The contrast-enhanced image exhibited an obvious gain in terms of improving the image segmentation effect and time efficiency using the improved algorithm. The time efficiency increased by 10.31%, 60.00%, and 40.28%, respectively, in the RGB, Lab, and Luv color spaces. (2) The optimal segmentation and merging scale parameters in the RGB, Lab, and Luv color spaces were C for minimum areas of 2000, 1900, and 2000, and D for a color difference of 1000, 40, and 40. (3) The algorithm improved the time efficiency of cultivated land boundary extraction in the Lab and Luv color spaces by 35.16% and 29.58%, respectively, compared to the RGB color space. The extraction accuracy was compared to the RGB color space using the δA, δP, and Khat, that were improved by 76.92%, 62.01%, and 16.83%, respectively, in the Lab color space, while they were 55.79%, 49.67%, and 13.42% in the Luv color space. (4) Through the visual comparison, time efficiency, and segmentation accuracy, the comprehensive extraction effect using the proposed algorithm was obviously better than that of RGB color-based space algorithm. The established accuracy evaluation indicators were also proven to be consistent with the visual evaluation. (5) The proposed method has a satisfying transferability by a wider test area with a coverage area of 1 km2. In addition, the proposed method, based on the image contrast enhancement, was to perform the region merging in the CIE color space according to the simulated immersion watershed segmentation results. It is a useful attempt for the watershed segmentation algorithm to extract cultivated land boundaries, which provides a reference for enhancing the watershed algorithm.
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Tarasov, D. A., and O. B. Milder. "Mathematics and practice of color space invariants by the example of determining the gray balance for a digital printing system." Computer Optics 44, no. 1 (2020): 117–26. http://dx.doi.org/10.18287/2412-6179-co-580.

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In modern printing, a large number of tasks are associated with the mutual transformation of color spaces. In particular, the most common pair of hardware-dependent color spaces is RGB and CMYK, the mutual transformation of colors in which is ambiguous, which creates significant problems in color reproduction. To solve this problem, we propose using color space invariants — gradation trajectories and gradation surfaces, which are analogs of gradation curves for initial colorants and their binary overlays, constructed in the absolute color space of the CIE Lab. Invariants are introduced on the basis of the mathematical apparatus of the differential geometry of spatial curves and surfaces. Practical application of color space invariants involves certain difficulties associated with their complex analytical description; moreover, for most practical problems, the high accuracy of the model is redundant. For the practical application of invariants, we propose a simpler approach using natural color sampling in digital printing systems. As an example, the procedure for determining the gray balance for an electrophotographic printing press is given.
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Kuriki, Ichiro. "A Novel Method of Color Appearance Simulation Using Achromatic Point Locus With Lightness Dependence." i-Perception 9, no. 2 (2018): 204166951876173. http://dx.doi.org/10.1177/2041669518761731.

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The purpose of the present study is to propose a simple algorithm for color appearance simulation under a color illuminant. Achromatic point is a chromaticity of rays that appear neither red nor green, neither blue nor yellow under a given illuminant condition. Saturation and hue of surface colors are evaluated with respect to the achromatic point of the same lightness, while the achromatic point under a colored illuminant depends on the lightness tested. We previously found that this achromatic point locus can be simply approximated as a line with a parallel offset from the lightness axis of CIE LAB space normalized to daylight. We propose a model that applies shifts in the lightness direction after applying hue/saturation shifts using the cone-response (von Kries) transformation under an iso-lightness constraint, such that achromatic points would be aligned with the lightness axis in the CIE LAB space under daylight normalization. We tested this algorithm, which incorporates evaluation of color appearance in different lightness levels, using #theDress image. Resemblance between our simulation and subjective color-matching results implies that human color vision possibly processes shifts in color and lightness independently, as a previous study reported. Changes in the chromaticity distribution of the images were compared with conventional models, and the proposed model preserved relative color difference better, especially at the lower lightness levels. The better performance in lower lightness levels would be advantageous in displays with wider dynamic range in luminance. This implies that the proposed model is effective in simulating color appearance of images with nonnegligible lightness and color differences.
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Guo, Ying, Jun Zhang, and Tao Mo. "Contribution of Green Jadeite-Jade’s Chroma Difference Based on CIE 1976 L*a*b* Uniform Color Space." Advanced Materials Research 177 (December 2010): 620–23. http://dx.doi.org/10.4028/www.scientific.net/amr.177.620.

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The correlations between lightness and chroma, lightness difference and color difference, chroma difference and color difference were studied to evaluate the impact of lightness on color. Based on color difference formula CIE LAB in the uniform color space CIE L*a*b* it is learnt that H*ab of jadeite jade green colors has made little contribution to E*ab. Given the fact that human eyes are relatively sensitive to the color perception of lightness difference and that lightness and chroma affect each other, lightness of jadeites has been divided into two groups: while the lightness of green is relatively low (L*  19.52), lightness and chroma have positive linear correlation (correlation coefficient L*  C* = 0.971), which means the higher lightness the higher chroma and brings brighter green color; while L* > 19.52 , there is no one-to-one correspondence between lightness and chroma, and the highest chroma 77.64 can be reached when L* = 37.63. The high partial correlation coefficients L*ab  E*ab = 0.974 and C*ab  E*ab = 0.971 reveal that both L*ab and C*ab are not affected by the lightness of jadeite and are equally important to E*ab. It is concluded that the quality estimation of green color of Jadeite Jade should be primarily based on lightness which is the most intuitive factor and consistent with the color perception, and then followed by the evaluation of chroma and hue.
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Kim, Hyun-Koo, Ju H. Park, and Ho-Youl Jung. "An Efficient Color Space for Deep-Learning Based Traffic Light Recognition." Journal of Advanced Transportation 2018 (December 6, 2018): 1–12. http://dx.doi.org/10.1155/2018/2365414.

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Traffic light recognition is an essential task for an advanced driving assistance system (ADAS) as well as for autonomous vehicles. Recently, deep-learning has become increasingly popular in vision-based object recognition owing to its high performance of classification. In this study, we investigate how to design a deep-learning based high-performance traffic light detection system. Two main components of the recognition system are investigated: the color space of the input video and the network model of deep learning. We apply six color spaces (RGB, normalized RGB, Ruta’s RYG, YCbCr, HSV, and CIE Lab) and three types of network models (based on the Faster R-CNN and R-FCN models). All combinations of color spaces and network models are implemented and tested on a traffic light dataset with 1280×720 resolution. Our simulations show that the best performance is achieved with the combination of RGB color space and Faster R-CNN model. These results can provide a comprehensive guideline for designing a traffic light detection system.
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Dissertations / Theses on the topic "CIE Lab color space"

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Svoboda, Jan. "Algoritmy přepočtů gamutů ve správě barev." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220594.

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The thesis deals with colors - their representation in digital devices and how to provide the best color preservation accross different devices. In the first part of the work, the knowledge of colors and human vision is briefly summarized. Then color models and color spaces are elaborated, mainly those device independent. Spectrum of colors viewable or printable on a device - the gamut - is different for every device and there's a need of precise reproduction or record of color. That's why the system of color management is described further and especially the gamut mapping approaches and algorithms are mentioned. In the second part of the work, the implementation of how two algorithms of color gamut mapping (HPMINDE, SCLIP) can be implemented in MATLAB is described. In the third and last part of the work, the results of implemented algorithms are presented and discussed. These results are compared to results of commonly used color gamut mapping technique (Adobe Photoshop).
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Takatsui, Fabiana [UNESP]. "Sistema CIE Lab: análise computacional de fotografias." Universidade Estadual Paulista (UNESP), 2011. http://hdl.handle.net/11449/89626.

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Made available in DSpace on 2014-06-11T19:24:07Z (GMT). No. of bitstreams: 0 Previous issue date: 2011-03-15Bitstream added on 2014-06-13T18:51:41Z : No. of bitstreams: 1 takatsui_f_me_arafo.pdf: 767458 bytes, checksum: cdfc1503244cefbd6a145a45a2d6340a (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>Por anos, os métodos de escolha de cor em odontologia têm sido realizados de forma subjetiva, baseados em experiências clínicasparticulares, sem nenhum embasamento científico. Com o aumento dos procedimentos estéticos restauradores, existe a preocupação na escolha da cor, cuja determinação envolve as técnicas visual e instrumental. A técnica visual é realizada com o auxílio de escalas de referências, e a técnica instrumental é realizada com o auxílio de espectrofotômetros, colorímetros e software de análise de imagens. Com o avanço tecnológico em equipamentos e com o auxílio de softwareque auxiliam na precisão da cor da imagem digital, este trabalho utilizou o softwareAdobe Photoshop 7.0, com o objetivo de avaliar a utilidade, na prática clínica, da máquina fotográfica digital para seleção de cor segundo a escala Vita LuminVaccum. Inicialmente, foi utilizada uma máquina amadora e dois examinadores fizeram a aferição, sendo realizado um estudo de correlação intra-classe para avaliação de concordância interexaminador. Concluiu-se que a análise computacional de imagens digitais pode ser usada para analisar guias de cores pelo sistema CIE LAB, assim como é confiável, sendo a diferença de cor entre os dois observadores clinicamente aceitável. Adicionalmente, por meio de uma máquina fotográfica profissional, foram comparados os modos manual e automático, para saber se a diferença de cor (ΔE) promovida por eles teve relevância clínica. Concluiu-se que, para as guias B1, B3 e C4 poderão ser usados quaisquer modos de câmera digital (manual ou automático), diferente do observado para a guia A3.5<br>For years, the methods of choice of color in dentistry, have been made subjectively, based on individual clinical experience, without any scientific basis. With the increase in esthetic restorations, the most sought in recent decades, for better color choice are the visualand instrumental techniques. The visual technique is performed with the aid of references, and the scales of instrumental technique are performed with the aid of spectrophotometers, colorimeters and image analysis software. Due to technological advances in equipment and due to the development ofsoftwares that improve precision in color of the captured digital image, the present study aimed to use the Adobe Photoshop 7.0 software, in order to evaluate the usefulness of the digital camerain clinical practice, when selecting color according to the Vita LuminVaccum scale.Interobserver agreement was verified when two examiners evaluated the coordinates L*, a* and b*, by using an unprofessional camera. Intraclass correlation coefficient was applied to verify interobserver agreement.It can be concluded that the computer analysis of photographic images can be used to analyze the color guides by means of the CIE L*a*b* system, as it was reliable and also because the color difference between the two observers was clinically acceptable. In relation of the use of a professional digital camera to verify the difference in color promoted by the manual and by the automatic mode, it can be concluded that for the guides B1, B3, and C4 any modes could be used, differently of the observed for the guide A3.5
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Takatsui, Fabiana. "Sistema CIE Lab : análise computacional de fotografias /." Araraquara : [s.n.], 2011. http://hdl.handle.net/11449/89626.

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Orientador: Leonor de Castro Monteiro Loffredo<br>Banca: Maximiliano Piero Neisser<br>Banca: Camila Pinelli<br>Resumo: Por anos, os métodos de escolha de cor em odontologia têm sido realizados de forma subjetiva, baseados em experiências clínicasparticulares, sem nenhum embasamento científico. Com o aumento dos procedimentos estéticos restauradores, existe a preocupação na escolha da cor, cuja determinação envolve as técnicas visual e instrumental. A técnica visual é realizada com o auxílio de escalas de referências, e a técnica instrumental é realizada com o auxílio de espectrofotômetros, colorímetros e software de análise de imagens. Com o avanço tecnológico em equipamentos e com o auxílio de softwareque auxiliam na precisão da cor da imagem digital, este trabalho utilizou o softwareAdobe Photoshop 7.0, com o objetivo de avaliar a utilidade, na prática clínica, da máquina fotográfica digital para seleção de cor segundo a escala Vita LuminVaccum. Inicialmente, foi utilizada uma máquina amadora e dois examinadores fizeram a aferição, sendo realizado um estudo de correlação intra-classe para avaliação de concordância interexaminador. Concluiu-se que a análise computacional de imagens digitais pode ser usada para analisar guias de cores pelo sistema CIE LAB, assim como é confiável, sendo a diferença de cor entre os dois observadores clinicamente aceitável. Adicionalmente, por meio de uma máquina fotográfica profissional, foram comparados os modos manual e automático, para saber se a diferença de cor (ΔE) promovida por eles teve relevância clínica. Concluiu-se que, para as guias B1, B3 e C4 poderão ser usados quaisquer modos de câmera digital (manual ou automático), diferente do observado para a guia A3.5<br>Abstract: For years, the methods of choice of color in dentistry, have been made subjectively, based on individual clinical experience, without any scientific basis. With the increase in esthetic restorations, the most sought in recent decades, for better color choice are the visualand instrumental techniques. The visual technique is performed with the aid of references, and the scales of instrumental technique are performed with the aid of spectrophotometers, colorimeters and image analysis software. Due to technological advances in equipment and due to the development ofsoftwares that improve precision in color of the captured digital image, the present study aimed to use the Adobe Photoshop 7.0 software, in order to evaluate the usefulness of the digital camerain clinical practice, when selecting color according to the Vita LuminVaccum scale.Interobserver agreement was verified when two examiners evaluated the coordinates L*, a* and b*, by using an unprofessional camera. Intraclass correlation coefficient was applied to verify interobserver agreement.It can be concluded that the computer analysis of photographic images can be used to analyze the color guides by means of the CIE L*a*b* system, as it was reliable and also because the color difference between the two observers was clinically acceptable. In relation of the use of a professional digital camera to verify the difference in color promoted by the manual and by the automatic mode, it can be concluded that for the guides B1, B3, and C4 any modes could be used, differently of the observed for the guide A3.5<br>Mestre
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Malikhao, Patchanee. "The application of CIE LAB to study trapping efficiency /." Online version of thesis, 1988. http://hdl.handle.net/1850/10145.

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He, Yiyang. "A Physically Based Pipeline for Real-Time Simulation and Rendering of Realistic Fire and Smoke." Thesis, Stockholms universitet, Numerisk analys och datalogi (NADA), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-160401.

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With the rapidly growing computational power of modern computers, physically based rendering has found its way into real world applications. Real-time simulations and renderings of fire and smoke had become one major research interest in modern video game industry, and will continue being one important research direction in computer graphics. To visually recreate realistic dynamic fire and smoke is a complicated problem. Furthermore, to solve the problem requires knowledge from various areas, ranged from computer graphics and image processing to computational physics and chemistry. Even though most of the areas are well-studied separately, when combined, new challenges will emerge. This thesis focuses on three aspects of the problem, dynamic, real-time and realism, to propose a solution in form of a GPGPU pipeline, along with its implementation. Three main areas with application in the problem are discussed in detail: fluid simulation, volumetric radiance estimation and volumetric rendering. The weights are laid upon the first two areas. The results are evaluated around the three aspects, with graphical demonstrations and performance measurements. Uniform grids are used with Finite Difference (FD) discretization scheme to simplify the computation. FD schemes are easy to implement in parallel, especially with ComputeShader, which is well supported in Unity engine. The whole implementation can easily be integrated into any real-world applications in Unity or other game engines that support DirectX 11 or higher.
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Lin, Zheng-Hui, and 林政輝. "GPU-Acceleration of High Performance CIE-Lab Color Space Conversion for Fully Polarimetric Synthetic Aperture Radar Images." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4b52y9.

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碩士<br>國立臺北科技大學<br>電機工程系所<br>105<br>Color encoding or assignment of multi-polarization or fully polarimetric synthetic aperture radar (PolSAR) image is vital for visual display and interpretation of the polarimetric information. It is a common practice to use RGB or HIS color space to display the chromatic information for polarization-encoded model-based target　decomposition of PolSAR images. However, to express the multi partial Pol SAR’s chroma, the basic RGB area is not cover all the perception system of human. Our research used the frame of color distribution which based on the evenly CIE-Lab color space, for better visual aware and information explanation. Let color have strongly visual explanation which through every kinds of parameter. The new color distribution not only keep the pole feature’s color but also enhance the total power of target’s information. But it spends much time to converse the color space from PolSAR image. Thus, we adopt the Compute Unified Device Architecture (CUDA) which is parallel structure of Graphics Processing Units (GPU) to speed up the transferring-time. The experimental result shows that we do the data’s conversion with parallel structure not only can be more efficient on the running time than using CPU but get the correct color space.
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JIANG, JI-HONG, and 江吉弘. "CUDA’s Implementation of High Performance CIE-Lab Color Space Conversion for Fully Polarimetric Synthetic Aperture Radar Images." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/nkycbt.

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碩士<br>國立臺北科技大學<br>電機工程系<br>107<br>Images of the Polarimetric Synthetic Aperture Radar (POLSAR) are critical for color coding or visual interpretation and polarization. The RGB color space is usually used to display color information for polar coded PolSAR images, based on the color information decomposed by the PolSAR model. However, in order to represent the chromaticity of a multi-polar PolSAR picture, the use of the RGB color space does not completely cover the human visual perception system. In order to improve the overall efficiency, based on the reference [8] CIE-Lab and RGB conversion methods, research and analysis, this paper uses Visual Profiler and <time.h> clock () function analysis, found in the color distribution and The conversion between CIE-Lab and RGB is slower. The size of the PolSAR image used in this experiment is larger than that of the general SAR image size, and the calculation is relatively time consuming. This paper uses Visual Profiler for analysis and puts the data into the CUDA architecture of our design. Three chapters. Therefore, this paper uses GPU (Compute Unified Device Architecture) of GPU (Graphics Processing Units, GPU) parallel architecture to accelerate the efficiency of the whole method. The experimental results prove that the parallel architecture proposed in this paper is used to calculate the information space. The conversion has a faster execution time in the program execution time, and has a significant performance improvement compared to the CPU only, and the correct color space can be obtained.
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Lin, Szu-Te, та 林思德. "The Analysis of Color Image Quality Metric Based on lαβ and Lab Color Space". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/22722920022260624491.

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碩士<br>國立臺灣大學<br>光電工程學研究所<br>94<br>This thesis presents an improved Color Image Quality Metric to evaluate the quality of color images. The Metric uses two color spaces that resemble the human visual system: lαβ and Lab. The color images are quantized in different channels and then ranked by all subjects through a series of experiments. We analyzed the results by using nonparametric statistics: the trends of single-channel distorted images were discussed and followed by the comparison of the mixed single-channel distorted images. Finally, we compared the calculating results between the metric in the literature and what we proposed based on mixed dual-channel distorted images. The comparisons of lαβ and Lab color space was carried out as well.
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Wiederhold, William. "Visible-NIR, Electrical Impedance, pH, and CIE L*, a*, and b* Color Space Values to Predict Beef Tenderness." Thesis, 2011. http://hdl.handle.net/1969.1/150931.

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Predicting tenderness in today's beef supply could be advantageous to packers and consumers. In this study (n = 1,137 carcasses), visible-near-infrared, electrical impedance, pH and Minolta CIE L*, a*, and b* color space values were examined as predictors of beef 1, 7, and 14 d Warner-Bratzler (N) or Slice Shear (N) force values as estimators of beef tenderness. Visible-NIR at 350 to 1830 nm, electrical impedance, and color space values were taken at the beef packing plant, along with carcass data. Strip loins were transported to Texas A & M University where pH was taken. Six steaks were taken from the anterior end of the strip loin and randomly assigned to either Warner-Bratzler shear force (WBSF) after 1, 7, or 14 days, or Slice shear force (SSF) after 1, 7, and 14 days of post-harvest aging at 2 degrees C. Shears were taken on assigned days. Shear force values were highly correlated with each other (r = 0.37 to 0.56 for WBSF and r = 0.75 to 0.78 for SSF) (P < 0.05). Within the independent variables, reflectance values for mid-range wavelengths (562nm-1193nm) were found to be most highly correlated with the dependent variables (P < 0.05). pH and color spaces values were more highly correlated (P < 0.05) to slice shears values then to Warner-Bratzler shears force values. Electrical impedance was the least significant with r values of 0.00 to 0.14. When Visble-NIR reflectance values were used in stepwise regression equations to predict 1, 7, or 14 d WBSF or 1, 7, or 14 d SSF, prediction equations for 14 d WBSF and SSF had the highest R^2 (0.14 and 0.36, respectively). Stepwise regression equations that included pH and color space values had the highest R^2 for 7 d WBSF and 1 d SSF (0.22 and 0.28, respectively). Electrical impedance alone in a stepwise regression equation had the highest R^2 for 1 and 14 d WBSF and 1 and 7 d SSF (0.02 and 0.03, respectively). Stepwise regression equations that included pH, color space values, and electrical impedance had the highest R^2 for 7 d WBSF and 14 d SSF (0.25 and 0.24, respectively). When pH, color space values, electrical impedance, and Visible-NIR were used, 7 d WBSF and 1 d SSF had the highest R^2 (0.38 and 0.34, respectively). Stepwise regression equations that included pH, color space values, and Visible-NIR had the highest R^2 for 7 d WBSF and 14 d SSF (0.30 and 0.44, respectively). For predicting 14 d Warner-Bratzler shear force, a R^2 of 0.20 was found using Visible-NIR, pH and color space values. When used, the partial least squares equation predicted tenderness with an 85 percent success rate. For predicting 14 d Slice shear forces, a R^2 of 0.40 was found. When used, the partial least squares equation had a 100 percent success rate of predicting those steaks found tender to be tender for Slice shear force. There was an 85 percent success rate for predicting 14 d Warner-Bratzler shear forces. Both equations still had little to no success in predicting tough steaks. The Visible-NIR can successfully predict tenderness
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Ramaswamy, Shankaran. "Colour Vision Test for Railway Dispatchers." Thesis, 2009. http://hdl.handle.net/10012/4352.

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Introduction Colour codes are used extensively in railways to convey specific information governing movement of trains and equipment on the track. One such task is the railway traffic control display that uses colour coded video display terminals (VDTs) to convey information of the signal status, train movements and track status to the railway dispatcher. Because individuals with colour vision deficiencies (colour-defectives) may have problems with these colour-related tasks, questions were raised about the suitability of colour vision defectives to work as railway dispatchers. In order to answer that, a VDT based Dispatch Colour Vision Test based on the actual railway traffic display was developed previously. Purpose The main purpose of this thesis is to establish the pass/fail scores and repeatability of the VDT based Dispatch Colour Vision Test that resulted from the previous work. Secondly, the study will also examine whether clinical colour vision tests can predict the performance on the practical task. Methods The Dispatch colour vision test was divided into three parts based on the colour sets that the dispatcher had to recognize. The testing computer system used the the same RGB colour settings, graphics card and monitor as in railway dispatch centres. Subjects viewed the display colours and entered their responses by using a mouse. One hundred colour-normals and fifty two colour-defectives participated in the initial session. The test was repeated approximately after 10 days. Ninety three colour-normals (93%) and 44 (85%) colour-defectives participated in the second session. The total number of errors and time to complete the test was recorded. Results Pass/Fail on the VDT Dispatch colour vision test was based on colour-normal errors. Ignoring orange-red errors, two errors were allowed in the first session and one error was allowed in the second session. Based on this criterion, 42% of colour vision defectives could perform as well as colour normal subjects. The kappa coefficient of agreement between the sessions for the colour-defectives was 0.85. Detailed analysis between the colour differences and the errors showed only a weak correlation between the two. However, the general trend was that colour-defectives made more errors on colours that were near or along the same lines of confusions and the colours were nearly equal in luminance. Nevertheless, the interaction between luminance and location with respect to the lines of confusion was not easy to interpret. The time to complete the task for the colour-defectives who passed the test took 14% longer than colour-normals and colour-defectives who failed took 30% longer than colour-normals. All groups showed a similar learning effect with an 18% reduction in mean times to complete the task at the second session. There was no significant correlation between the number of errors and time to complete or the clinical tests and completion times for any of the groups. Clinical colour vision tests have limited value in predicting performance of colour-defectives on the Dispatch test. Logistic analysis results showed that the Farnsworth D-15 along with the Nagel was the best predictor of the VDT Dispatch colour test pass/fail results. However, these results were similar to using the Farnsworth D-15 test alone. Ninety-five percent of the individuals who failed the Farnsworth D-15 also failed the Dispatch test. However, approximately 25% of the individuals who passed the Farnsworth D-15 failed the VDT Dispatch colour test which is an unacceptable false negative rate. These results indicate the Farnsworth D-15 can only be used to predict who is likely to fail the dispatch test. Conclusions Forty two percent of colour vision defectives could perform as well as colour-normals in identifying VDT railway display colours and time to complete the task. Clinical colour vision tests were inadequate predictors of performance in practical task, overall. However, the Farnsworth D-15 was a very good predictor of who would fail the VDT Dispatch test. Hence a practical VDT Dispatch test may be needed to test individuals who would want to work as railway dispatchers.
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Book chapters on the topic "CIE Lab color space"

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López, Fernando, José Miguel Valiente, Ramón Baldrich, and María Vanrell. "Fast Surface Grading Using Color Statistics in the CIE Lab Space." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492542_81.

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Bao, Xinyue, Wangan Song, and Sheng Liu. "Research on Color Space Conversion Model from CMYK to CIE-LAB Based on GRNN." In Image and Video Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75786-5_21.

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Jin, Xin, Yingya Chen, Shiming Ge, et al. "Color Image Encryption in CIE L*a*b* Space." In Applications and Techniques in Information Security. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48683-2_8.

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Schanda, János. "CIE u′, v′ Uniform Chromaticity Scale Diagram and CIELUV Color Space." In Encyclopedia of Color Science and Technology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27851-8_12-1.

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Schanda, János. "CIE u′, v′ Uniform Chromaticity Scale Diagram and CIELUV Color Space." In Encyclopedia of Color Science and Technology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-89862-5_12.

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Schanda, János. "CIE u′, v′ Uniform Chromaticity Scale Diagram and CIELUV Color Space." In Encyclopedia of Color Science and Technology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4419-8071-7_12.

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Imawati, Ida Ayu Putu Febri, Made Sudarma, I. Ketut Gede Darma Putra, and I. Putu Agung Bayupati. "A Study of Lab Color Space and Its Visualization." In Advances in Computer Science Research. Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-413-6_3.

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Peng, Zhiyong, Faliang Chang, and Wenhui Dong. "Vibe Motion Target Detection Algorithm Based on Lab Color Space." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47791-5_6.

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Alvarado-Cervantes, Rodolfo, Edgardo M. Felipe-Riveron, Vladislav Khartchenko, Oleksiy Pogrebnyak, and Rodolfo Alvarado-Martínez. "Behavior of the CIE L*a*b* Color Space in the Detection of Saturation Variations During Color Image Segmentation." In Advances in Computational Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02840-4_19.

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Qiu, YunJie, Hongtao Lu, Nan Deng, and Nengbin Cai. "A Robust Blind Image Watermarking Scheme Based on Template in Lab Color Space." In Computing and Intelligent Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24091-1_52.

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Conference papers on the topic "CIE Lab color space"

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Padro, Noah, Tim Balint, Nick Harner, et al. "A Quantitative and Automated Quality Metric for Delayering Integrated Circuits." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0363.

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Abstract Integrated circuit (IC) delayering is highly subjective, as operators must make process decisions based on minute details observed in optical images of the ICs. Process decisions have a strong influence on the quality of the final sample, with the result being highly dependent on an operator’s technique, skill, and experience. However, end point detection, process development, and in-process feedback all benefit from a quantitative method to evaluate results. To this end, a quality metric for IC delayering based solely on optical images has been developed. The optical images are processed into CIE-Lab color space, candidate zones are established, and color homogeneity both within and among these zones is calculated, which contribute to a final die quality score. The work done in this study takes a significant step forward in quantifying IC delayering results, which is critical for improving repeatability, reproducibility, and developing automation frameworks in these workflows.
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Boondach, Mintra, and Parkpoom Chaisiriprasert. "Improving Durian Leaf Disease Detection Using LAB Color Space and CLAHE Technique with YOLOv8 Integration." In 2024 8th International Conference on Information Technology (InCIT). IEEE, 2024. https://doi.org/10.1109/incit63192.2024.10810589.

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Recky, Michal, and Franz Leberl. "Windows Detection Using K-means in CIE-Lab Color Space." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.96.

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Ignacio, Bligh Stian E., Liam Matthew B. Villaflor, Victor A. Chiong, and Christine F. Peña. "A Peformance Evaluation of YOLOv3 and CIE Lab Color Space Pixel Color Analysis in Fire Detection." In 2022 2nd International Conference in Information and Computing Research (iCORE). IEEE, 2022. http://dx.doi.org/10.1109/icore58172.2022.00067.

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EL AMRAOUI, Mohamed. "Spectrometric Characterization of Moroccan Architectural Glazed Tiles." In Mediterranean Architectural Heritage. Materials Research Forum LLC, 2024. http://dx.doi.org/10.21741/9781644903117-18.

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Abstract The present work relates to a multi-analytic characterization of glazed tiles consisting of green monochrome glazed ceramics used in Moroccan architecture to protect ceilings, walls and roofs from rainwater. These tiles originate from five sites and date back to different historical periods: Bou-Inania Madrasa in Meknes (14th century), Prison of Qara in Meknes (18th century), Dar El-Beida Palace in Meknes (18th century) and Al-Hibous Cemetery of Mdaghra in Errachidia (19th century). Different analysis techniques were used in view to go back to the ancient technological processes adopted (materials, coloring pigments, firing temperatures, etc..). Optical absorption spectrometry revealed two different types of chromogenic ions in green glazes, chromium Cr3+ in the case of the tiles from Dar El-Beida Palace and Prison of Qara, and copper Cu2+ in the case of the tiles from Bou-Inania Madrasa and Al-Hibous Cemetery. Raman microspectroscopy identified different coloring phases with two types of green glazes, escolaite (Cr2O3) in the case of the glazes of the Prison of Qara and copper phthalocyanine mixed with a chromium-based pigment in the case of the glazes of the Dar El-Beida Palace. However, the origin of the green color in the glazes from Bou-Inania Medersa in Meknes and Al-Hibous cemetery of Errachidia may be due to the dissolution of copper in the vitreous glazes. X-ray diffraction, supported by Raman microspectrometry, revealed the mineralogical compositions of the terracotta tiles. Quartz and calcite are the main phases, while hematite and "high temperature" phases (anorthite, gehlenite and diopside) appear as minority ones. These identified phases permit to estimate the firing temperature of the tiles at around 950 °C in an oxidizing atmosphere. The chromatic coordinates of all glazes, represented in the Lab CIE color space, made it possible to discriminate objectively all green colors. The present investigation of glazes from different historical sites allowed the exploration of the coloring materials, revealed differences in the adopted technological protocols and permitted the establishment of a color reference database to follow glazes degradation and to help while replacing missing or degraded tile pieces.
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Eun Kyeong Kim, Hyunhak Cho, Eunseok Jang, and Sungshin Kim. "Color recognition of landmarks using FIS and CIE LAB." In 2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy). IEEE, 2016. http://dx.doi.org/10.1109/ifuzzy.2016.8004940.

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Wang, Xichang, Yi He, and Zhaokun Meng. "Color sensitive characteristic of CIE(X,Y,Z) color space." In ICO20:Illumination, Radiation, and Color Technologies, edited by Dazun Zhao, M. R. Luo, and Hirohisa Yaguchi. SPIE, 2006. http://dx.doi.org/10.1117/12.668065.

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Fida, Erum, Junaid Baber, Maheen Bakhtyar, Rabia Fida, and Muhammad Javid Iqbal. "Unsupervised image segmentation using lab color space." In 2017 Intelligent Systems Conference (IntelliSys). IEEE, 2017. http://dx.doi.org/10.1109/intellisys.2017.8324217.

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Jeng, Wei-De, Ting-Wei Huang, Ou-Yang Mang, Tsang-Hsing Lee, Yao-Fang Hsieh, and Yi-Ting Kuo. "Research of color distribution index in CIE L*a*b* color space." In SPIE Optical Engineering + Applications, edited by Andrew G. Tescher. SPIE, 2010. http://dx.doi.org/10.1117/12.860389.

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Zhu, Xiangmao. "Low-light image enhancement based on LAB color space." In Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023), edited by Shamik Tiwari and Jingsong Li. SPIE, 2024. http://dx.doi.org/10.1117/12.3025867.

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