Texture Classification Based on Symbolic Data Analysis
نویسندگان
چکیده
This article presents a hybrid approach for texture-based image classification using the gray-level co-occurrence matrices (GLCM) and a new Fuzzy Kohonen Clustering Network for Symbolic Interval Data (IFKCN). The GLCM matrices extracted from an image database are processed to create the training data set using IFKCN algorithm. The IFKCN organizes and extracts prototypes from processed GLCM matrices. The experimental results demonstrate that the proposed method is encouraging with an average successful rate of 97.39%.
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