Color-texture-based image retrieval system using Gaussian Markov random field model.
Tsai, Meng-Hsiun, Chan, Yung-Kuan, Wang, Jiun-Shiang, Guo, Shu-Wei, Wu, Jiunn-Lin (2009)
Mathematical Problems in Engineering
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Tsai, Meng-Hsiun, Chan, Yung-Kuan, Wang, Jiun-Shiang, Guo, Shu-Wei, Wu, Jiunn-Lin (2009)
Mathematical Problems in Engineering
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Filip Brčić (2005)
Review of the National Center for Digitization
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Maja Jovanović, Aleksandar Perović, Nenad Andonovski, Aleksandar Jovanović (2007)
Review of the National Center for Digitization
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Ivanova, Krassimira, Stanchev, Peter, Dimitrov, Boyan (2008)
Serdica Journal of Computing
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In this paper we study some of the characteristics of the art painting image color semantics. We analyze the color features of differ- ent artists and art movements. The analysis includes exploration of hue, saturation and luminance. We also use quartile’s analysis to obtain the dis- tribution of the dispersion of defined groups of paintings and measure the degree of purity for these groups. A special software system “Art Paint- ing Image Color Semantics” (APICSS) for image analysis...
Ryszard Tadeusiewicz, Marek R. Ogiela, Piotr S. Szczepaniak (2009)
International Journal of Applied Mathematics and Computer Science
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The main paradigm of image understanding and a concept for its practical machine realisation are presented. The crucial elements of the presented approach are the formalisation of human knowledge about the class of images that are to be automatically interpreted, a linguistic description and the realization of cognitive resonance.
Rashad J. Rasras, Ibrahiem M. M. El Emary, Dmitriy E. Skopin (2007)
Computer Science and Information Systems
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Francesco Mola, Jaromír Antoch, Luca Frigau, Claudio Conversano (2016)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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Many image segmentation algorithms have been proposed to partition an image into foreground regions of interest and background regions to be ignored. These algorithms use pixel intensities to partition the image, so it should be good practice to choose an appropriate background color as different as possible from the foreground one. In the case of a unique digitizing operation the user can make the choice of background color by himself in order to obtain a good result in the segmentation...
Jianhui Zhao, Zhong Zhang, Shizhong Han, Chengzhang Qu, Zhiyong Yuan, Dengyi Zhang (2011)
Computer Science and Information Systems
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Jiří Jan, Radim Kolář, Libor Kubečka, Jan Odstrčilík, Jiří Gazárek (2011)
Kybernetika
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The paper presents an overview of image analysis activities of the Brno DAR group in the medical application area of retinal imaging. Particularly, illumination correction and SNR enhancement by registered averaging as preprocessing steps are briefly described; further mono- and multimodal registration methods developed for specific types of ophthalmological images, and methods for segmentation of optical disc, retinal vessel tree and autofluorescence areas are presented. Finally, the...