Introduction to statistical pattern recognition (2nd ed.)
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Unsupervised texture segmentation using Gabor filters
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A novel extended local-binary-pattern operator for texture analysis
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A complex network-based approach for boundary shape analysis
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IEEE Transactions on Image Processing
Information Sciences: an International Journal
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Illumination-insensitive texture discrimination based on illumination compensation and enhancement
Information Sciences: an International Journal
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In this paper, we propose a novel texture analysis method using the complex network theory. We investigated how a texture image can be effectively represented, characterized and analyzed in terms of a complex network. The proposed approach uses degree measurements to compose a set of texture descriptors. The results show that the method is very robust, and it presents a excellent texture discrimination for all considered classes, overcoming traditional texture methods.