Log in

Relevant bibliographies by topics / HSV color models / Journal articles

To see the other types of publications on this topic, follow the link: HSV color models.

Journal articles on the topic 'HSV color models'

Author: Grafiati

Published: 4 June 2025

Last updated: 14 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'HSV color models.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Rasid Mamat, Abd, Fatma Susilawati Mohamed, Mohamad Afendee Mohamed, Norkhairani Mohd Rawi, and Mohd Isa Awang. "Silhouette index for determining optimal k-means clustering on images in different color models." International Journal of Engineering & Technology 7, no. 2.14 (2018): 105. http://dx.doi.org/10.14419/ijet.v7i2.14.11464.

Full text

Abstract:

Clustering process is an essential part of the image processing. Its aim to group the data according to having the same attributes or similarities of the images. Consequently, determining the number of the optimum clusters or the best (well-clustered) for the image in different color models is very crucial. This is because the cluster validation is fundamental in the process of clustering and it reflects the split between clusters. In this study, the k-means algorithm was used on three colors model: CIE Lab, RGB and HSV and the clustering process made up to k clusters. Next, the Silhouette Ind

APA, Harvard, Vancouver, ISO, and other styles

2

Hema, D., and Dr S. Kannan. "Interactive Color Image Segmentation using HSV Color Space." Science & Technology Journal 7, no. 1 (2019): 37–41. http://dx.doi.org/10.22232/stj.2019.07.01.05.

Full text

Abstract:

The primary goal of this research work is to extract only the essential foreground fragments of a color image through segmentation. This technique serves as the foundation for implementing object detection algorithms. The color image can be segmented better in HSV color space model than other color models. An interactive GUI tool is developed in Python and implemented to extract only the foreground from an image by adjusting the values for H (Hue), S (Saturation) and V (Value). The input is an RGB image and the output will be a segmented color image.

APA, Harvard, Vancouver, ISO, and other styles

3

Haouassi, Samia, and Di Wu. "An Efficient Attentional Image Dehazing Deep Network Using Two Color Space (ADMC2-net)." Sensors 24, no. 2 (2024): 687. http://dx.doi.org/10.3390/s24020687.

Full text

Abstract:

Image dehazing has become a crucial prerequisite for most outdoor computer applications. The majority of existing dehazing models can achieve the haze removal problem. However, they fail to preserve colors and fine details. Addressing this problem, we introduce a novel high-performing attention-based dehazing model (ADMC2-net)that successfully incorporates both RGB and HSV color spaces to maintain color properties. This model consists of two parallel densely connected sub-models (RGB and HSV) followed by a new efficient attention module. This attention module comprises pixel-attention and chan

APA, Harvard, Vancouver, ISO, and other styles

4

Sharma, Bhubneshwar, and Rupali Nayyer. "Use and analysis of color models in image processing." International Journal of Advances in Scientific Research 1, no. 8 (2015): 329. http://dx.doi.org/10.7439/ijasr.v1i8.2460.

Full text

Abstract:

The use of color image processing is divided by two factors. First color is used in object identification and simplify extraction from a scene and color is powerful descriptor.Second, humans can used thousands of color shades and intensities.Color Image Processing is divided into two areas full color and pseudocolor processing.In this processing various color models are used that are based on color recognition,color components etc. A few papers on various applications such as lane detection, face detection, fruit quality evaluation etc based on these color models have been published. A survey

APA, Harvard, Vancouver, ISO, and other styles

5

SEDYKH, I. A., and A. E. KHARITONOV. "ANALYSIS OF MAIN COLOR MODELS FOR IMAGE SUPER RESOLUTION." Vestnik LSTU, no. 2 (2024): 36–45. http://dx.doi.org/10.53015/23049235_2024_2_36.

Full text

Abstract:

The article discusses the effectiveness of the RGB, HSV, HSL, YCbCr, Lab color models for image super resolution, considers the research procedure using metrics, presents the research results as a table and concludes about the work done.

APA, Harvard, Vancouver, ISO, and other styles

6

Nurbaity, Sabri, Ibrahim Zaidah, and Isa Dino. "Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 549–57. https://doi.org/10.11591/ijeecs.v11.i2.pp549-557.

Full text

Abstract:

This paper investigates the application of eight color models for automatic palm oil Fresh Fruit Bunch (FFB) ripeness classification with multi-class Support Vector Machine (SVM). Ripeness classification is important during harvesting to ensure that they are harvested during the correct ripe stage for optimum oil production. Since color is a significant indicator for agriculturists to determine the ripeness of FFB, it is critical to determine the right color model. Eight color models have been investigated namely, HSV, I1I2I3, LAB, XYZ, YCbCr, YIQ, YUV and RGB. Color moments were extracted fro

APA, Harvard, Vancouver, ISO, and other styles

7

Li, Zhiyong, Pengfei Li, Xiaoping Yu, and Mervat Hashem. "Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/793769.

Full text

Abstract:

It is a challenge to represent the target appearance model for moving object tracking under complex environment. This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV). The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating. Firstly, we initialize the target object region and calculate its HSV color histogram feature as

APA, Harvard, Vancouver, ISO, and other styles

8

Garashchenko, Yaroslav, Vladimir Fedorovich, Andrii Poharskyi, Olena Harashchenko, and Andrii Malyniak. "COLOR VISUALIZATION OF 3D-MODELS FOR ENHANCED PREPARATION OF ADDITIVE MANUFACTURING PROCESSES." Cutting & Tools in Technological System, no. 101 (December 7, 2024): 77–85. https://doi.org/10.20998/2078-7405.2024.101.07.

Full text

Abstract:

The main aspects of color visualization of triangulated models of industrial products are presented. The implementation of visualization capabilities is based on RGB and HSV color models. The structure and key features of the software implementation of color visualization and the export of the displayed image in PLY, and AMF formats are discussed. Methods for transformations between RGB and HSV color models are described, as well as an algorithm for coloring the triangular faces of the model based on specified color ranges. The developed algorithms allow for a sufficiently informative represen

APA, Harvard, Vancouver, ISO, and other styles

9

Qasim Mohammed Hussein, Ahmed Saadi Abdullah, and Nada Qasim Mohammed. "The efficiency of Color Models layers at Color Images as Cover in text hiding." Tikrit Journal of Pure Science 21, no. 1 (2023): 130–39. http://dx.doi.org/10.25130/tjps.v21i1.963.

Full text

Abstract:

The color images are used widely as a cover in hiding of the information. Since the variety of applications of the color image there are several color models of color image. Most color models consist of three layers. The nature of the color mode of the cover plays a main role in determining the robustness and security of hiding algorithm. The objective of this paper tests the layers, components, of the color models of cover color images, to figure out which color layer of each color model is best (less affected) to use as a cover to hide information within each color model in the hiding

APA, Harvard, Vancouver, ISO, and other styles

10

Park, So-Yeon, Jin Ho Kim, Ji Hyun Chang, Jong Min Park, Chang Heon Choi, and Jung-In Kim. "Quantitative evaluation of radiodermatitis following whole-breast radiotherapy with various color space models: A feasibility study." PLOS ONE 17, no. 3 (2022): e0264925. http://dx.doi.org/10.1371/journal.pone.0264925.

Full text

Abstract:

Purpose We analyzed skin images with various color space models to objectively assess radiodermatitis severity in patients receiving whole-breast radiotherapy. Methods Twenty female patients diagnosed with breast cancer were enrolled prospectively. All patients received whole-breast radiotherapy without boost irradiation. Skin images for both irradiated and unirradiated breasts were recorded in red-green-blue (RGB) color space using a mobile skin analysis device. For longitudinal analysis, the images were acquired before radiotherapy (RTbefore), approximately 7 days after the first fraction of

APA, Harvard, Vancouver, ISO, and other styles

11

Chen, Yushu, and Jun Bian. "Research on color matching model for wood panel furniture based on a back propagation neural network." BioResources 19, no. 2 (2024): 2383–403. http://dx.doi.org/10.15376/biores.19.2.2383-2403.

Full text

Abstract:

The wood furniture manufacturing industry continues in the direction of customized furniture. The analysis of color collocation is important for developing customized furniture. This study summarizes the common color collocation application area for porch cabinets. After selecting the appropriate color model, C # language was used to simulate a real scene setting experimental system in the Unity graphics engine. Colors were generated randomly in the corresponding area, and subjects evaluated the harmony. Then, the Python language was used to build the BP neural network model. The BP neural net

APA, Harvard, Vancouver, ISO, and other styles

12

Khattab, Dina, Hala Mousher Ebied, Ashraf Saad Hussein, and Mohamed Fahmy Tolba. "Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/126025.

Full text

Abstract:

This paper presents a comparative study using different color spaces to evaluate the performance of color image segmentation using the automatic GrabCut technique. GrabCut is considered as one of the semiautomatic image segmentation techniques, since it requires user interaction for the initialization of the segmentation process. The automation of the GrabCut technique is proposed as a modification of the original semiautomatic one in order to eliminate the user interaction. The automatic GrabCut utilizes the unsupervised Orchard and Bouman clustering technique for the initialization phase. Co

APA, Harvard, Vancouver, ISO, and other styles

13

Huang, Zhiwu, Jiqing Wu, and Luc Van Gool. "Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3886–93. http://dx.doi.org/10.1609/aaai.v33i01.33013886.

Full text

Abstract:

Generative modeling over natural images is one of the most fundamental machine learning problems. However, few modern generative models, including Wasserstein Generative Adversarial Nets (WGANs), are studied on manifold-valued images that are frequently encountered in real-world applications. To fill the gap, this paper first formulates the problem of generating manifold-valued images and exploits three typical instances: hue-saturation-value (HSV) color image generation, chromaticity-brightness (CB) color image generation, and diffusion-tensor (DT) image generation. For the proposed generativ

APA, Harvard, Vancouver, ISO, and other styles

14

Sabri, Nurbaity, Zaidah Ibrahim, and Dino Isa. "Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 549. http://dx.doi.org/10.11591/ijeecs.v11.i2.pp549-557.

Full text

Abstract:

This paper investigates the application of eight color models for automatic palm oil Fresh Fruit Bunch (FFB) ripeness classification with multi-class Support Vector Machine (SVM). Ripeness classification is important during harvesting to ensure that they are harvested during the correct ripe stage for optimum oil production. Since color is a significant indicator for agriculturists to determine the ripeness of FFB, it is critical to determine the right color model. Eight color models have been investigated namely, HSV, I1I2I3, LAB, XYZ, YCbCr, YIQ, YUV and RGB. Color moments were extracted fro

APA, Harvard, Vancouver, ISO, and other styles

15

Rahaman, G. M. Atiqur, and Md Zahidul Islam. "Color transform analysis for microscale image segmentation to study halftone model parameters." Open Computer Science 6, no. 1 (2016): 148–67. http://dx.doi.org/10.1515/comp-2016-0013.

Full text

Abstract:

AbstractThis article presents a comprehensive study of 30 color transforms to accurately segment images of halftone prints and thus calculating the parameters of a color prediction model. The transforms are evaluated combining three metrics: the model accuracy,Otsu’s discriminant, and correlation coefficients of histograms. Hierarchical cluster analysis is applied to determine the thresholds to segment the image histogram into paper, ink and mixed area. Among the 30 different transforms discussed in this article, 21 channels are of 7 color space models (RGB, CMYK, CIELAB, HSV, YIQ, YCbCr, and

APA, Harvard, Vancouver, ISO, and other styles

16

Astrianda, Nica. "Klasifikasi Kematangan Buah Tomat Dengan Variasi Model Warna Menggunakan Support Vector Machine." VOCATECH: Vocational Education and Technology Journal 1, no. 2 (2020): 45–52. http://dx.doi.org/10.38038/vocatech.v1i2.27.

Full text

Abstract:

Abstract Tomato ripeness classification has been done manually through direct visual observation. However, manual classification is highly influenced by operator subjectivity so that on certain conditions, the classification process is not consistent. The development of information technology allows the identification of the ripeness level of tomatoes based on the characteristics of color with the help of computers. In this study Tomato fruit is classified by histogram color image input obtained from the capture result. This is done by changing all the colors in the image of the RGB colo

APA, Harvard, Vancouver, ISO, and other styles

17

Astrianda, Nica, Hayatun Maghfirah, and Fatma Susilawati Mohamad. "KLASIFIKASI KEMATANGAN TOMAT DENGAN MODEL WARNA YANG BERBEDA MENGGUNAKAN LINEAR DISKRIMINAN ANALISIS (LDA)." VOCATECH: Vocational Education and Technology Journal 3, no. 2 (2022): 46–53. http://dx.doi.org/10.38038/vocatech.v3i2.75.

Full text

Abstract:

AbstractQuality of fruits depend heavily on the right time of plucking plus the right stage of ripeness to ensure its highest quality before selling. Tomatoes are one of the fruits that have a relatively fast maturity process. So that the classification of tomato maturity has an important role to reduce the risk of spoilage of tomato. Color is one of the attributes that can be used to identify the ripeness of tomato and it is one of the most distinctive characteristic of the fruits and vegetables that grow in tropical climates. In this study, the goal is to classify tomatoes maturity using col

APA, Harvard, Vancouver, ISO, and other styles

18

A.B., Dhivya, and Sundaresan M. "Enhancing the Tablet Images using Noise Reduction Algorithms by Analyzing Different Color Models." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 2 (2019): 148–55. https://doi.org/10.35940/ijeat.B3119.129219.

Full text

Abstract:

Unidentified tablets are challenges to both patients and healthcare professionals. Using these unknown tablets results in undesirable reaction of drug and also it is foundation to ill health that leads to death even sometimes. Thus, recognition of unidentified tablets is a significant task in medical industry. Identification of tablets is one of the major concerns for public and pharmacists, which can be carried out by means of either text-based or image-based methods. The tablet identification system is focused on removing noise from the tablet images using algorithms like Independent Compone

APA, Harvard, Vancouver, ISO, and other styles

19

Ryu, Jin-Kyu, and Dong-Kurl Kwak. "Flame Detection Based on Deep Learning Using HSV Color Model and Corner Detection Algorithm." Fire Science and Engineering 35, no. 2 (2021): 108–14. http://dx.doi.org/10.7731/kifse.30befadd.

Full text

Abstract:

Recently, many image classification or object detection models that use deep learning techniques have been studied; however, in an actual performance evaluation, flame detection using these models may achieve low accuracy. Therefore, the flame detection method proposed in this study is image pre-processing with HSV color model conversion and the Harris corner detection algorithm. The application of the Harris corner detection method, which filters the output from the HSV color model, allows the corners to be detected around the flame owing to the rough texture characteristics of the flame imag

APA, Harvard, Vancouver, ISO, and other styles

20

Rezeki, Imam Dwi, Fitri Aini Nasution, and Angga Putra Juledi. "Measurement of Photosynthetic Pigment Content using Convolutional Neural Network." Sinkron 7, no. 2 (2022): 611–18. http://dx.doi.org/10.33395/sinkron.v7i2.11414.

Full text

Abstract:

Estimation of photosynthetic pigment levels from leaves can be done using conventional methods using laboratory equipment such as spectrophotometers and using digital image processing from leaf images with a computational model. In digital image processing methods, various models are used, such as neural network, CNN, and linear regression. Measurement of photosynthetic pigment levels using image processing methods uses color value data from image data as input to the model used. In this study, we will analyze the effect of various types of color space and inpaint preprocessing settings on the

APA, Harvard, Vancouver, ISO, and other styles

21

Basri, Basri, Harli A. Karim, Muhammad Assidiq, Muhammad Arafah, and Fitria Rahmadani. "Multilayer Perceptron Model with Feature Extraction for Potassium Deficiency Identification of Cocoa Plants." JOIV : International Journal on Informatics Visualization 9, no. 1 (2025): 324. https://doi.org/10.62527/joiv.9.1.2829.

Full text

Abstract:

The development of Multilayer Perceptron (MLP) models for networked learning systems heavily relies on the specific application case study and the accurate parameterization aligned with the chosen computer vision feature extraction models. This study proposes an MLP model for identifying potassium deficiency in cocoa plants. The feature extraction methodology employs object feature extraction that commonly used in computer vision, including Local Binary Pattern (LBP), Gray Level Co-Occurrence Matrix (GLCM), and Hue Saturation Value (HSV) models. These computer vision techniques aid in analyzin

APA, Harvard, Vancouver, ISO, and other styles

22

Sitanggang, Sahat Sonang, Yuhandri Yuhandri, and Adil Setiawan. "Image Transformation With Lung Image Thresholding and Segmentation Method." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7, no. 2 (2023): 278–85. http://dx.doi.org/10.29207/resti.v7i2.4321.

Full text

Abstract:

Image transformation is important to obtain and find certain information about an image that was not previously known, such as pixels, geometry, size, and color. Following this, this research aims to analyze image transformation in producing better values using threshold and segmentation methods. The segmentation process is carried out based on two color models, namely hue saturation value (HSV) and red green blue (RGB). The image data used in this study was the x-ray image of the lungs from www.fk.unair.ac.id. which is processed using the Matlab 2021a application to help the analysis process.

APA, Harvard, Vancouver, ISO, and other styles

23

Manikandan, Sankarakutti Palanichamy, Sandeep Reddy Narani, Sakthivel Karthikeyan, and Nagarajan Mohankumar. "Deep learning for skin melanoma classification using dermoscopic images in different color spaces." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 319. http://dx.doi.org/10.11591/ijece.v15i1.pp319-327.

Full text

Abstract:

Skin cancer begins in the skin cells. The damage to the skin cells can cause genetic mutations that lead to uncontrolled growth and the formation of tumors. It is estimated that millions of people are diagnosed with skin cancer of different kinds each year. The earlier a skin cancer is diagnosed, the better the patient's prognosis and the lower their chance of complications. In this work, an efficient deep learning classification (EDLCS) to classify dermoscopic images is developed. The importance of color in the diagnosis of skin melanoma has caused color analysis to attract considerable atten

APA, Harvard, Vancouver, ISO, and other styles

24

Chan, Tony F., Sung Ha Kang, and Jianhong Shen. "Total Variation Denoising and Enhancement of Color Images Based on the CB and HSV Color Models." Journal of Visual Communication and Image Representation 12, no. 4 (2001): 422–35. http://dx.doi.org/10.1006/jvci.2001.0491.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Manikandan, Sankarakutti Palanichamy, Sandeep Reddy Narani, Sakthivel Karthikeyan, and Nagarajan Mohankumar. "Deep learning for skin melanoma classification using dermoscopic images in different color spaces." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 1 (2025): 319–27. https://doi.org/10.11591/ijece.v15i1.pp319-327.

Full text

Abstract:

Skin cancer begins in the skin cells. The damage to the skin cells can causegenetic mutations that lead to uncontrolled growth and the formation oftumors. It is estimated that millions of people are diagnosed with skin cancerof different kinds each year. The earlier a skin cancer is diagnosed, the betterthe patient's prognosis and the lower their chance of complications. In thiswork, an efficient deep learning classification (EDLCS) to classifydermoscopic images is developed. The importance of color in the diagnosisof skin melanoma has caused color analysis to attract considerable attentionfro

APA, Harvard, Vancouver, ISO, and other styles

26

Marcial Basilio, Jorge A., Gualberto Aguilar Torres, Gabriel Sánchez Pérez, Karina Toscano Medina, and Héctor M. Pérez Meana. "Novel method for pornographic image detection using HSV and YCbCr color models." Revista Facultad de Ingeniería Universidad de Antioquia, no. 64 (October 3, 2012): 79–90. http://dx.doi.org/10.17533/udea.redin.13117.

Full text

Abstract:

In this paper a novel method to explicit content or pornographic images detection is proposed, using the transformation from RGB to HSV or YCbCr color model, which is the most usual format to images that exists on Internet, moreover the using of a threshold to skin detection applying the color models HSV and YCbCr is proposed. Using the proposed threshold the image is segmented, once the image segmented, the skin quantity localized in that image is calculated. The obtained results using the proposed system are compared with two programs which carry out with the same goal, the Forensic Toolkit

APA, Harvard, Vancouver, ISO, and other styles

27

Schwarz, Michael W., William B. Cowan, and John C. Beatty. "An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models." ACM Transactions on Graphics 6, no. 2 (1987): 123–58. http://dx.doi.org/10.1145/31336.31338.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Kai, Hun Chi, and Xiao Lin Tian. "A New Color Fidelity Fast Denoising Algorithm for High-ISO Images." Applied Mechanics and Materials 536-537 (April 2014): 59–62. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.59.

Full text

Abstract:

A new color fidelity algorithm to reduce sensor noise for high-ISO images has been proposed. The new algorithm uses HSV color space on wavelet domain to denoise high-ISO images by a weighted mean filter, which is designed based on analysis of the different noise models of high-ISO images. Testing results are satisfactory, which have shown that the new algorithm could reduce noise in high-ISO images faster, as well as no any color distortion in original images during the denoising processing.

APA, Harvard, Vancouver, ISO, and other styles

29

Lv, Jingqin, and Jiangxiong Fang. "A Color Distance Model Based on Visual Recognition." Mathematical Problems in Engineering 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/4652526.

Full text

Abstract:

In computer vision, Euclidean Distance is generally used to measure the color distance between two colors. And how to deal with illumination change is still an important research topic. However, our evaluation results demonstrate that Euclidean Distance does not perform well under illumination change. Since human eyes can recognize similar or irrelevant colors under illumination change, a novel color distance model based on visual recognition is proposed. First, we find that various colors are distributed complexly in color spaces. We propose to divide the HSV space into three less complex sub

APA, Harvard, Vancouver, ISO, and other styles

30

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.

Full text

Abstract:

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, an

APA, Harvard, Vancouver, ISO, and other styles

31

Santos, João F. C. dos, Heider R. F. Silva, Francisco A. C. Pinto, and Igor R. de Assis. "Use of digital images to estimate soil moisture." Revista Brasileira de Engenharia Agrícola e Ambiental 20, no. 12 (2016): 1051–56. http://dx.doi.org/10.1590/1807-1929/agriambi.v20n12p1051-1056.

Full text

Abstract:

ABSTRACT The objective of this study was to analyze the relation between the moisture and the spectral response of the soil to generate prediction models. Samples with different moisture contents were prepared and photographed. The photographs were taken under homogeneous light condition and with previous correction for the white balance of the digital photograph camera. The images were processed for extraction of the median values in the Red, Green and Blue bands of the RGB color space; Hue, Saturation and Value of the HSV color space; and values of the digital numbers of a panchromatic image

APA, Harvard, Vancouver, ISO, and other styles

32

Wu, Wendong, and Minmin Yao. "Optimization of Underwater Images Based on Gray World Algorithm and Jaffe-McGlamery Models." Frontiers in Computing and Intelligent Systems 11, no. 1 (2025): 80–84. https://doi.org/10.54097/papgd308.

Full text

Abstract:

In this paper, a comprehensive scheme for underwater image processing is proposed based on the grayscale world algorithm and the Jaffe-McGlamery model. Firstly, a color bias detection based on grayscale world theory, a low light detection based on HSV color space, and a fuzzy detection method based on frequency domain and Laplace operator are designed to classify different types of image degradation. Subsequently, the corresponding scene degradation models are constructed for different degradation types through the simplified Jaffe-McGlamery model, and the image features under different water

APA, Harvard, Vancouver, ISO, and other styles

33

Rogge, Christian, Steffen Zinn, Paolo Prosposito, Roberto Francini, and Andreas H. Foitzik. "Transmitted light pH optode for small sample volumes." Journal of Sensors and Sensor Systems 6, no. 2 (2017): 351–59. http://dx.doi.org/10.5194/jsss-6-351-2017.

Full text

Abstract:

Abstract. An innovative concept of a low-cost pH optode with working volumes of less than 150 µL is presented. The pH monitoring is based on the color changing effect of pH indicators. The optode includes an RGB color sensor patch TCS34725 from Adafruit, a controllable LED and reactor slides and is addressed by a self-written LabVIEW© software. Utilizing the hue value of the HSV color model, it is possible to analyze the color change of the indicator and estimate the pH value of the analyzed samples by exploiting sigmoidal fit models. Measurements carried out with phenol red and DMEM (Dulbecco

APA, Harvard, Vancouver, ISO, and other styles

34

Stoliarova, Valeriia, Fedor Bushmelev, and Maxim Abramov. "Associations between the Avatar Characteristics and Psychometric Test Results of VK Social Media Users." Mathematics 11, no. 20 (2023): 4300. http://dx.doi.org/10.3390/math11204300.

Full text

Abstract:

Online social media has an increasing influence on people’s lives, providing tools for communication and self–representation. People’s digital traces are gaining attention as a reflection of their personality traits, enhancing the personality computing tasks in various areas. This study aims at the identification of statistical associations between psychometric scores from three questionnaires—the Big Five Inventory, Plutchik’s Lifestyle Index and the Eysenck Personality Questionnaire—and a set of graphical features of avatar images from the VK online social media that include the pixel charac

APA, Harvard, Vancouver, ISO, and other styles

35

Gómez-Espinosa, Alfonso, Jesús B. Rodríguez-Suárez, Enrique Cuan-Urquizo, Jesús Arturo Escobedo Cabello, and Rick L. Swenson. "Colored 3D Path Extraction Based on Depth-RGB Sensor for Welding Robot Trajectory Generation." Automation 2, no. 4 (2021): 252–65. http://dx.doi.org/10.3390/automation2040016.

Full text

Abstract:

The necessity for intelligent welding robots that meet the demand in real industrial production, according to the objectives of Industry 4.0, has been supported owing to the rapid development of computer vision and the use of new technologies. To improve the efficiency in weld location for industrial robots, this work focuses on trajectory extraction based on color features identification on three-dimensional surfaces acquired with a depth-RGB sensor. The system is planned to be used with a low-cost Intel RealSense D435 sensor for the reconstruction of 3D models based on stereo vision and the

APA, Harvard, Vancouver, ISO, and other styles

36

Nishchhal, N., and M. Favorskaya. "ACCURATE CELL SEGMENTATION IN BLOOD SMEAR IMAGES BASED ON COLOR ANALYSIS AND CNN MODELS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W3-2023 (May 12, 2023): 193–99. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-w3-2023-193-2023.

Full text

Abstract:

Abstract. Nowadays, automated blood cell evaluation play a major role in the classification and diagnosis of diseases. Despite the many possible ways to segment blood cells, the recognition efficiency remains insufficient, especially when different cell types overlap. Also, one should not forget about the cells structure complexity. Image segmentation and image classification are the main stages of this problem. At the same time, segmentation of blood smear images is considered the most important stage in automated disease detection systems. Often cell segmentation in blood smear images is per

APA, Harvard, Vancouver, ISO, and other styles

37

McMahan, Brian, and Matthew Stone. "A Bayesian Model of Grounded Color Semantics." Transactions of the Association for Computational Linguistics 3 (December 2015): 103–15. http://dx.doi.org/10.1162/tacl_a_00126.

Full text

Abstract:

Natural language meanings allow speakers to encode important real-world distinctions, but corpora of grounded language use also reveal that speakers categorize the world in different ways and describe situations with different terminology. To learn meanings from data, we therefore need to link underlying representations of meaning to models of speaker judgment and speaker choice. This paper describes a new approach to this problem: we model variability through uncertainty in categorization boundaries and distributions over preferred vocabulary. We apply the approach to a large data set of colo

APA, Harvard, Vancouver, ISO, and other styles

38

Ling, Ling, and Wei Xin Ling. "Retrieval Algorithm of Images and its Applications in Recognition of Metallographic Pictures." Advanced Materials Research 291-294 (July 2011): 2356–59. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2356.

Full text

Abstract:

In order to improve the retrieval speed and precision of images, the improved algorithm of extraction of image color features based on the both RGB and HSV color models was proposed in this paper. The algorithm can remove the repetitious vectors of compost in quantization process. While evenly quantizing model space, we can bring the compression of dimensions of image color features into full play and guarantee not to lose the main components of color features for color image. Then using RBF neural network and incorporating the values of color features, the image retrieval can be performed. Th

APA, Harvard, Vancouver, ISO, and other styles

39

Kisan, Sumitra, Sarojananda Mishra, Ajay Chawda, and Sanjay Nayak. "Estimation of Fractal Dimension in Different Color Model." International Journal of Knowledge Discovery in Bioinformatics 8, no. 1 (2018): 75–93. http://dx.doi.org/10.4018/ijkdb.2018010106.

Full text

Abstract:

This article describes how the term fractal dimension (FD) plays a vital role in fractal geometry. It is a degree that distinguishes the complexity and the irregularity of fractals, denoting the amount of space filled up. There are many procedures to evaluate the dimension for fractal surfaces, like box count, differential box count, and the improved differential box count method. These methods are basically used for grey scale images. The authors' objective in this article is to estimate the fractal dimension of color images using different color models. The authors have proposed a novel meth

APA, Harvard, Vancouver, ISO, and other styles

40

Guadarrama, Lili, Carlos Paredes, and Omar Mercado. "Plant Disease Diagnosis in the Visible Spectrum." Applied Sciences 12, no. 4 (2022): 2199. http://dx.doi.org/10.3390/app12042199.

Full text

Abstract:

A simple and robust methodology for plant disease diagnosis using images in the visible spectrum of plants, even in uncontrolled environments, is presented for possible use in mobile applications. This strategy is divided into two main parts: on the one hand, the segmentation of the plant, and on the other hand, the identification of color associated with diseases. Gaussian mixture models and probabilistic saliency segmentation are used to accurately segment the plant from the background of an image, and HSV thresholds are used in order to achieve the identification and quantification of the c

APA, Harvard, Vancouver, ISO, and other styles

41

Dhanesha R., Et al. "Segmentation and Classification of Arecanut Bunches before harvesting." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 3953–62. http://dx.doi.org/10.17762/ijritcc.v11i9.9736.

Full text

Abstract:

In the agriculture sector, arecanuts are an extremely valuable crop. The price of an arecanut depends on its stage of ripeness. As a result of a lack of expertise in judging the maturity level of arecanut bunches before harvest, farmers often lose profit. Precision agricultural techniques based on image processing and computer vision have recently assisted farmers in determining crop maturity quality. Precision agricultural techniques based on image processing and computer vision have recently assisted farmers in determining crop maturity quality. Therefore, accuracy in segmenting arecanut bun

APA, Harvard, Vancouver, ISO, and other styles

42

Rao, Koduru Koteswara, Raj Kiran B, Srinivasa Rao, and Lavanya K. "Development of ExG, ExR, ExGR, HSV, CIELAB Images from RGB Images Using Image Segmentation Algorithm in Computer Vision Based Herbicide Spraying Applications." Journal of Scientific Research and Reports 30, no. 10 (2024): 501–8. http://dx.doi.org/10.9734/jsrr/2024/v30i102477.

Full text

Abstract:

Weed management in agriculture is critical for preventing crop yield losses, with traditional methods often leading to environmental harm and increased production costs. This study explores the development of color indices and models for weed detection in computer vision-based herbicide spraying applications. Among the all sensors, RGB colour cameras offer several advantages, including low cost and wide availability of image processing libraries tailored for RGB image analysis. In present study a Logitech C270 webcam was used for acquiring the RGB images and a specially python algorithm was de

APA, Harvard, Vancouver, ISO, and other styles

43

Anisa Nur Azizah and Chastine Fatichah. "Tajweed-YOLO: Object Detection Method for Tajweed by Applying HSV Color Model Augmentation on Mushaf Images." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7, no. 2 (2023): 236–45. http://dx.doi.org/10.29207/resti.v7i2.4739.

Full text

Abstract:

Tajweed is a basic knowledge of learning to read the Al-Qur’an correctly. Tajweed has many laws grouped into several parts so that only some people can memorize and implement Tajweed properly. Therefore, it is necessary to have an automatic detection system to facilitate the recognition of Tajweed, which can be used daily. This study presents Tajweed-YOLO, which applies the HSV color augmentation model to detect Tajweed objects in Mushaf images using YOLO. The contribution to this study was to compare the three versions of You Only Look Once (YOLO), i.e., YOLOv5, YOLOv6, and YOLOv7, and usage

APA, Harvard, Vancouver, ISO, and other styles

44

Zarei, Shima. "Face recognition methods analysis." International Journal Artificial Intelligent and Informatics 1, no. 1 (2018): 01. http://dx.doi.org/10.33292/ijarlit.v1i1.13.

Full text

Abstract:

Face Recognition is one of the most important issues in Image processing tasks. It is important because it uses for various purposes in real world such as Criminal detection or for detecting fraud in passport and visa check in airports. Face book is a nice example of Face recognition application, when it sends notification to one user’s friends who are recognized by their images that user uploaded in face book page. To solve Face Recognition problem different methods are introduced such as Principal Component Analysis (PCA), Independent Component Analysis (ICA), Support Vector Machine (SVM), L

APA, Harvard, Vancouver, ISO, and other styles

45

Ferreira, Filipe, Ivan Miguel Pires, Mónica Costa, et al. "A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation." Computers 10, no. 4 (2021): 43. http://dx.doi.org/10.3390/computers10040043.

Full text

Abstract:

In recent years, research in tracking and assessing wound severity using computerized image processing has increased. With the emergence of mobile devices, powerful functionalities and processing capabilities have provided multiple non-invasive wound evaluation opportunities in both clinical and non-clinical settings. With current imaging technologies, objective and reliable techniques provide qualitative information that can be further processed to provide quantitative information on the size, structure, and color characteristics of wounds. These efficient image analysis algorithms help deter

APA, Harvard, Vancouver, ISO, and other styles

46

HIREMATH, P. S., and AJIT DANTI. "DETECTION OF MULTIPLE FACES IN AN IMAGE USING SKIN COLOR INFORMATION AND LINES-OF-SEPARABILITY FACE MODEL." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 01 (2006): 39–61. http://dx.doi.org/10.1142/s021800140600451x.

Full text

Abstract:

In this paper, human faces are detected using the skin color information and the Lines-of-Separability (LS) face model. The various skin color spaces based on widely used color models such as RGB, HSV, YCbCr, YUV and YIQ are compared and an appropriate color model is selected for the purpose of skin color segmentation. The proposed approach of skin color segmentation is based on YCbCr color model and sigma control limits for variations in its color components. The segmentation by the proposed method is found to be more efficient in terms of speed and accuracy. Each of the skin segmented region

APA, Harvard, Vancouver, ISO, and other styles

47

Indrabayu, Hardian Putra Rahmat, Nurtanio Ingrid, Sari Areni Intan, and Bustamin Anugrayani. "Blob adaptation through frames analysis for dynamic fire detection." Bulletin of Electrical Engineering and Informatics 9, no. 5 (2020): 2189–97. https://doi.org/10.11591/eei.v9i5.2622.

Full text

Abstract:

This study was aiming at helping visually impaired people to detect and estimate the fire distance. Blind people had difficulty knowing the existence of fire at a safe distance; hence the possibility of burning could occur. The color models and blob analysis methods were used to detect the presence of fire in the blind path. Before the fire detection stage, the cascade of the HSV and RGB color models was applied to segment the reddish fire color. The size and shape of a dynamic fire were the parameters used in this paper to distinguish fire from non-fire objects. Changes in the area of the fir

APA, Harvard, Vancouver, ISO, and other styles

48

K.A.N.S, Senarathne, Epitawatta E.A.E.K, Thennakoon K.T,, Diunugala M.W, H. M. Samadhi Chathuranga Rathnayake, and M. Pipuni Madhuhansi. "“Gemo”: An AI-Powered Approach to Color, Clarity, Cut Prediction, and Valuation for Gemstones." International Research Journal of Innovations in Engineering and Technology 07, no. 10 (2023): 406–16. http://dx.doi.org/10.47001/irjiet/2023.710054.

Full text

Abstract:

“Gemo” is an AI-powered smartphone application that aims to improve the gem industry by replacing human-based approaches with computer-based ones. A mix of well-trained machine learning models that are capable of color identification, cut projection, recommendation, and pricing prediction is competent in offering experience and information to the industry. Traditional gem industry predictions are often subjective and inaccurate due to reliance on human labor. Erroneous output caused financial loss. Gemo is developed to overcome these problems by applying Artificial intelligence-based feature i

APA, Harvard, Vancouver, ISO, and other styles

49

Susanto, A., Z. H. Dewantoro, C. A. Sari, D. R. I. M. Setiadi, E. H. Rachmawanto, and I. U. W. Mulyono. "Shallot Quality Classification using HSV Color Models and Size Identification based on Naive Bayes Classifier." Journal of Physics: Conference Series 1577 (July 2020): 012020. http://dx.doi.org/10.1088/1742-6596/1577/1/012020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Pradeep M and Dr. M Siddappa. "CLASSIFICATION OF RICE USING CONVOLUTIONAL NEURAL NETWORK (CNN)." international journal of engineering technology and management sciences 7, no. 5 (2023): 455–63. http://dx.doi.org/10.46647/ijetms.2023.v07i05.056.

Full text

Abstract:

This paper describes the technique for automatic recognition and classification of different rice grain samples using neural network classifier. The Red Green Blue (RGB), Hue Saturation Intensity (HSI) and Hue Saturation Value (HSV) color models of the image were considered for extracting 18 color features. The classification was carried out using color and texture features separately. The color image was converted to Gray scale image and the Gray Level Co-occurrence Matrixes (GLCM) for four different directions was calculated. A total of eight texture features were calculated from the Co-occu

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!