A Complex Network-Based Approach for Texture Analysis
Conference paper
Abstract
In this paper, we propose a novel texture analysis method using the complex network theory. It was investigated how a texture image can be effectively represented, characterized and analyzed in terms of a complex network. The propose uses degree measurements in a dynamic evolution network to compose a set of feasible shape descriptors. Results show that the method is very robust and it presents a very excellent texture discrimination for all considered classes.
Keywords
Complex Network Texture Analysis Texture Image Gabor Filter Descriptor Image
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