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Relevant bibliographies by topics / Pseudo color

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Academic literature on the topic 'Pseudo color'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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Journal articles on the topic "Pseudo color"

1

Li, Lei. "An Image Fusion Algorithm Based on Pseudo-Color." Advanced Materials Research 433-440 (January 2012): 5436–42. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5436.

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The pseudo-color processing for target identification and tracking is very meaningful Experimental results show that the pseudo-color image fusion is a very effective methods. This paper presents a false color image fusion based on the new method. Fusion using wavelet transform grayscale images, find the gray fused image and the difference between the original image, respectively, as the image of l, α, β components are color fusion image, and then after the color transformation, the final false color fused image. The results showed that the color fusion image colors more vivid, more in line wi

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Kumar, J. Suresh. "Pseudo-Complete Color Critical Graphs." International Journal for Research in Applied Science and Engineering Technology 6, no. 1 (2018): 2841–46. http://dx.doi.org/10.22214/ijraset.2018.1391.

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Duan, De-yang, and Yun-jie Xia. "Pseudo color ghost coding imaging with pseudo thermal light." Optics Communications 413 (April 2018): 295–98. http://dx.doi.org/10.1016/j.optcom.2017.12.064.

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Lin, Keh-Moh, Horng-Horng Lin, Harshad Kumar Dandage, and Yi-Chun Du. "Pseudo colorization of electroluminescence images of multi-crystalline silicon solar cells for defect inspection." Modern Physics Letters B 33, no. 14n15 (2019): 1940010. http://dx.doi.org/10.1142/s0217984919400104.

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Computer imaging of electroluminescence (EL) has been successfully applied to solar cell inspection in recent years, as EL image intensities reflect the efficiency levels and/or defects in sc-Si and mc-Si solar cells. In this paper, we propose a novel computational scheme for pseudo colorization of EL images to highlight defect regions in solar cells for human inspection. Specifically, given a template EL image and pseudo color labels on its defect regions, we impose the pseudo colors to other grayscale EL images, with respect to different defect types and image structures, by template feature

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Chen, Yang, Zhang Zhi-yong, Wang Ji-hong, Huang Yu-yang, and Ding Zhao. "Decolorizing of infrared pseudo color image." Journal of Applied Optics 36, no. 3 (2015): 403–7. http://dx.doi.org/10.5768/jao201536.0302004.

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Cortés, C., and M. Catelan. "The RR Lyrae Period‐Luminosity‐(Pseudo)Color and Period‐Color‐(Pseudo)Color Relations in the Strömgren Photometric System: Theoretical Calibration." Astrophysical Journal Supplement Series 177, no. 1 (2008): 362–72. http://dx.doi.org/10.1086/587938.

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Nakagawa, Hidenori, and Shoogo Ueno. "Conscious Perception of Color in Pseudo-“Blindsight”." IEEE Transactions on Magnetics 50, no. 11 (2014): 1–4. http://dx.doi.org/10.1109/tmag.2014.2322902.

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Sheng, Zhong, Xiao Yu Jiang, and Wei Zhen. "Pseudo-Color Coding with Phase-Modulated Image Density." Advanced Materials Research 403-408 (November 2011): 1618–21. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1618.

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Traditional pseudo color coding for gray images based on image enhancement technique cannot adequately deal with some of the details information of the image. In this paper, an enhanced approach of peudo-color coding with phase-modulated image density is presented. This method has distinct levels, richer colours, and is adequate for human perception of color ,providing a better algorithm for pseudo color coding based on gray images. This method has great potential in research and application and characteristic of strong universal usage, which can process high gray resolution image.

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Yang, Zhu, Wang, Yang, Wu, and Li. "Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology." Sensors 19, no. 19 (2019): 4076. http://dx.doi.org/10.3390/s19194076.

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Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points. In this paper, a super-resolution image reconstruction algorithm for Raman spectroscopy is studied to convert raw Raman data into pseudo-color super-resolution imaging. Firstly, the Raman spectrum data of a single measurement point is measured multiple times to calculate the mean value to remove the random background noise, and innovatively introduce the Retinex algorithm and the median filtering algorithm which improve the signal-to-noise ra

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Căliman, Alexandru, Mihai Ivanovici, and Noël Richard. "Probabilistic pseudo-morphology for grayscale and color images." Pattern Recognition 47, no. 2 (2014): 721–35. http://dx.doi.org/10.1016/j.patcog.2013.08.021.

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Dissertations / Theses on the topic "Pseudo color"

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Sakr, Ziad. "3D object recognition using pseudo-random color encoded structured light." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0015/MQ57174.pdf.

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Sakr, Ziad. "Three-dimensional object recognition using pseudo-random color-encoded structured light." Thesis, University of Ottawa (Canada), 2000. http://hdl.handle.net/10393/9085.

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3D surface detection and measurement is one of the primary tasks involved in machine vision. Visual sensing of 3D position parameters can be done passively or actively. A method for 3D surface detection and measurement using a projected grid of light is presented. A novel technique using color projected grids is also explained for the detection and extraction of 3D objects in any colored environment. The "point identification" problem is solved using colored pseudo-random multi-valued sequence encoding. A new technique of finding grid line edges instead of its skeleton is also proved to increa

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Barcellos, Robson. "Novo método de mapeamento de espaços de cor através de redes neurais artificiais especializadas." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/18/18155/tde-04102011-075505/.

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Este trabalho apresenta uma nova metodologia para mapeamento no espaço de cor colorimétrico CIEXYZ, dos valores de triestímulo obtidos em um espaço de cor não colorimétrico definido pelas curvas de sensibilidade de um sensor eletrônico. A inovação do método proposto é realizar o mapeamento através de três redes neurais artificiais sendo que cada uma é especializada em mapear cores com um determinado triestímulo dominante. É feita a comparação dos resultados do mapeamento com vários trabalhos publicados sobre mapeamento de um espaço de cor em outro usando diversas técnicas. Os resultados mostra

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RICHON, MARIE-HELENE. "Les pseudo-obstructions coliques aigues : a propos d'un cas gestationnel." Toulouse 3, 1989. http://www.theses.fr/1989TOU31133.

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Gentner, Jean-Luc. "Les pseudo-occlusions coliques d'origine medicamenteuse : a propos d'un cas." Université Louis Pasteur (Strasbourg) (1971-2008), 1990. http://www.theses.fr/1990STR1M005.

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TIROT, PATRICE. "La pseudo-obstruction colique aigue chez l'insuffisant respiratoire chronique decompense sous ventilation artificielle : etude retrospective et prospective." Angers, 1990. http://www.theses.fr/1990ANGE1014.

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Kaděrka, Petr. "Systém pro zobrazování černobílých snímků v nepravých barvách (Pseudocolor)." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217184.

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This diploma thesis treats the possibilities of the black-white picture depiction in pseudo colors (Pseudocolor). The individual methods, software or hardware are described there and the detailed block scheme of the system Pseudocolor is suggested. The block scheme is created on the basis of gained theoretical knowledge. In the thesis, individual functional blocks of the scheme are described and their circuit designs are realized. Some of the functional blocks are simulated by the PSpice program and accompanied by corresponding signal process data. The suitable choice of the active and passive

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Huisman, Maximiliaan. "Vision Beyond Optics: Standardization, Evaluation and Innovation for Fluorescence Microscopy in Life Sciences." eScholarship@UMMS, 2019. https://escholarship.umassmed.edu/gsbs_diss/1017.

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Fluorescence microscopy is an essential tool in biomedical sciences that allows specific molecules to be visualized in the complex and crowded environment of cells. The continuous introduction of new imaging techniques makes microscopes more powerful and versatile, but there is more than meets the eye. In addition to develop- ing new methods, we can work towards getting the most out of existing data and technologies. By harnessing unused potential, this work aims to increase the richness, reliability, and power of fluorescence microscopy data in three key ways: through standardization, evaluat

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Chou, Chin-Ping, and 周津平. "Pseudo-Motion-Compensated Impulse Noise Removal from Color Video." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/58152557553462467721.

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碩士<br>國立臺灣大學<br>電子工程學研究所<br>104<br>In order to take into account the both objects of noise suppression and detail preservation, the switching image denoising method is widely used by academics. Moreover, the strong correlation between adjacent frames, especially the accurate motion-prediction compensation, is also introduced into the video denoising scheme. While these compounded methods produce good performance, they are either unsuited for hardware implementation due to complicated transformation or time consuming due to large-range search. These defects limit the usage of new results in rap

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Wiesemann, Ryan B. "Cephalogram pseudo-color and emboss enhancements anatomical landmark clarity in photostimuable phosphor cephalometrics /." 2004. http://etd.louisville.edu/data/UofL0035t2004.pdf.

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Books on the topic "Pseudo color"

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Chiara, Garzya Romano, ed. I colori e le arti dei Romani e la compilazione pseudo-eracliana. Il Mulino, 1996.

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Progressive transmission of pseudo-color images. [University of Nebraska, 1991.

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Brooks, David Vincent. Blaclpoemology: Men of Colour in Transitory Stages / - A Pseudo Autobiographical Tragicomedy. AuthorHouse, 2013.

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Book chapters on the topic "Pseudo color"

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Marciniak, R., E. Kociatkiewicz, and K. Jarnicki. "Digitalized pseudo-color radiography of bones. Preliminary report on color significance in image processing." In Osteologie aktuell VII. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78188-9_123.

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Chua, Tat-Seng, and Chun-Xin Chu. "Color-Based Pseudo Object Model for Image Retrieval with Relevance Feedback." In Advanced Multimedia Content Processing. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48962-2_11.

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Penas, Marta, María J. Carreira, Manuel G. Penedo, and Cástor Mariño. "Segment Extraction Using Burns Principles in a Pseudo-color Fuzzy Hough Transform." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492542_22.

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Tanabe, Shoko, Kyoko Makita, and Hiroko Koketsu. "Color Vision Test with’ standard Pseudo-Isochromatic Plates Part 2’ for Ethambutol-Induced Optic Neuropathy." In Colour Vision Deficiencies VIII. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4275-2_9.

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Hraoui, Said, Faiq Gmira, Fouad Mohammed Abbou, A. Oualidi Jarrar, and Abdellatif Jarjar. "A Chaotic Cryptosystem for Color Images Using Pixel-Level and Bit-Level Pseudo-Random Permutations." In Innovations in Smart Cities Applications Edition 2. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11196-0_41.

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Lowe, Andrew, and Anthony H. Chapman. "The Diagnosis and Management of Colonic Obstruction and Pseudo-Obstruction." In Radiology and Imaging of the Colon. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18834-3_26.

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"Pseudo-Color Image Processing." In Encyclopedia of Multimedia. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_591.

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Hall, James, and Terence Lindgren. "A FAST APPROACH TO PHIGS PLUS PSEUDO COLOR MAPPING." In Graphics Gems II. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-08-050754-5.50037-2.

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Hafsa, Amal, Mohamed Gafsi, Jihene Malek, and Mohsen Machhout. "Hybrid Encryption Model Based on Advanced Encryption Standard and Elliptic Curve Pseudo Random." In Cryptography - Recent Advances and Future Developments. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95511.

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Securing multimedia applications becomes a major challenge with the violation of the information increasing currently. In this paper, a novel method for color image encryption is proposed. The procedure of encryption is performed using cooperation between Elliptic Curve Cryptography (ECC) and the Advanced Encryption Standard (AES) with CTR (Counter) mode. In the cryptographic system, we have proposed to take advantage of the Elliptic Curve Random Generator to generate a sequence of arbitrary numbers based on the curve. The random generation step is founded on the public key sharing and a changing point G. Then, the AES-CTR is performed to these sequences using arbitrary keys for image encryption. The use of the AES alongside greatly distributed random results an interesting encryption method. Security analysis is successfully performed and our experiments prove that the suggested technique provides the basis of cryptography with more simplicity and correctness.

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Gimson, Alexander. "Miscellaneous disorders of the bowel." In Oxford Textbook of Medicine, edited by Jack Satsangi. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198746690.003.0314.

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A wide range of miscellaneous disorders can affect the bowel. Those discussed in this chapter include cystic disorders (colitis cystica profunda and pneumatosis cystoides intestinalis), protein-losing enteropathy, vascular disorders of the intestine (spontaneous intramural haemorrhage and ortoenteric fistulas), intestinal pseudo-obstruction (acute colonic pseudo-obstruction, chronic intestinal pseudo-obstruction), various disorders of the colon and rectum (including microscopic, collagenous, and lymphocytic colitis, malakoplakia, solitary rectal ulcer syndrome, and stercoral ulcers), complications of parenteral nutrition and intestinal failure, peritoneal disorders, and endometriosis.

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Conference papers on the topic "Pseudo color"

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Zhao, S. N., H. Chang, J. Wei, and Z. Wei. "Pseudo-Color Coded Optical System Based on the Spatial Light Modulator and Charge-Coupled Device." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86642.

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A new pseudo-color coded optical system based on the liquid crystal spatial light modulator (LC-SLM) and a digital camera (CCD) is proposed. The SLM is used to replace the holographic grating with gray-scale image information, a gray-scale image in real-time modulation methods is proposed by synthesizing phase hologram and Ronchi grating, combined with the 4f coherent optical processing system and spatial filtering. For the high resolution gray image processed with existing digital pseudo-color method, the color sensitivity is low, algorithm is very complex. For traditional optical pseudo-colo

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Romero, Felipe Trujillo, and Michel Devy. "Registration by using a pseudo color attribute." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761507.

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Crenshaw, M. M. "Pseudo - Color Reflection Holography - An Artist's Perspective." In OE LASE'87 and EO Imaging Symp (January 1987, Los Angeles), edited by Tung H. Jeong. SPIE, 1987. http://dx.doi.org/10.1117/12.939800.

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Jang, J. H., and J. B. Ra. "Pseudo-color image fusion based on intensity-hue-saturation color space." In 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008). IEEE, 2008. http://dx.doi.org/10.1109/mfi.2008.4648093.

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Uhlmann, Stefan, Serkan Kiranyaz, and Moncef Gabbouj. "Polarimetric SAR classification using visual color features extracted over pseudo color images." In IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2013. http://dx.doi.org/10.1109/igarss.2013.6723201.

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Pipatnoraseth, Tanaporn, Sukanya Phognsuphap, Cholatip Wiratkapun, Rawesak Tanawongsuwan, Petch Sajjacholapunt, and Ikuko Shimizu. "Breast Microcalcification Visualization Using Pseudo-Color Image Processing." In 2019 12th Biomedical Engineering International Conference (BMEiCON). IEEE, 2019. http://dx.doi.org/10.1109/bmeicon47515.2019.8990312.

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Huakui, Wang, Wu Bi, Zhao Ye, Chen Ying-chun, and Zhang Yang-fan. "Pseudo-color based visual method of sonar detection." In 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2011. http://dx.doi.org/10.1109/icspcc.2011.6061628.

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Jos, Jibrael, and K. A. Venkatesh. "Pseudo Color Region Features for Plant Disease Detection." In 2020 IEEE International Conference for Innovation in Technology (INOCON). IEEE, 2020. http://dx.doi.org/10.1109/inocon50539.2020.9298337.

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Hu, Jinlong, Xianrong Peng, and Zhiyong Xu. "Study of gray image pseudo-color processing algorithms." In 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), edited by Wenhan Jiang, Myung K. Cho, and Fan Wu. SPIE, 2012. http://dx.doi.org/10.1117/12.977197.

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Ding, Ye, Dong-mei Fu, and Tao Yang. "Pseudo-color visualization of infrared temperature data based on color difference and HSI." In International Symposium on Optoelectronic Technology and Application 2016. SPIE, 2016. http://dx.doi.org/10.1117/12.2244266.

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Reports on the topic "Pseudo color"

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Tang, H., Ed X. Wu, D. Gallagher, and S. B. Heymsfield. Monochrome Image Presentation and Segmentation Based on the Pseudo-Color and PCT Transformations. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada412412.

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