Spatio-spectral networks for color-texture analysis
نویسندگان
چکیده
منابع مشابه
Evaluation of color representation for texture analysis
Since more than 50 years texture in image material is a topic of research. Hereby, color was ignored mostly. This study compares 70 different configurations for texture analysis, using four features. For the configurations we used: (i) a gray value texture descriptor: the co-occurrence matrix and a color texture descriptor: the color correlogram, (ii) six color spaces, and (iii) several quantiz...
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Texture and color appearance of froth is a discreet qualitative tool for evaluating the performance of flotation process. The structure of a froth developed on the flotation cell has a significant effect on the grade and recovery of copper concentrate. In this work, image analysis and neural networks have been implemented to model and control the performance of such a system. The result reveals...
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Describing textures is a challenging problem in computer vision and pattern recognition. The classification problem involves assigning a category label to the texture class it belongs to. Several factors such as variations in scale, illumination and viewpoint make the problem of texture description extremely challenging. A variety of histogram based texture representations exists in literature....
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Markku Hauta-Kasari(1), Kanae Miyazawa, Satoru Toyooka, and Jussi Parkkinen(1) Graduate School of Science and Engineering, Saitama University 255 Shimo-okubo, Urawa, Saitama 338-8570, JAPAN (1)Department of Information Technology, Lappeenranta University of Technology P.O. Box 20, FIN-53851 Lappeenranta, FINLAND Email: Markku.Hauta-Kasari@lut. Abstract. In this study we present a spectral visio...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2020
ISSN: 0020-0255
DOI: 10.1016/j.ins.2019.11.042