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Baidaa Mutasher Rashed

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Open access Aug 2026

Hybrid PCA–LBP and Wavelet Scattering Framework for Texture Classification in Color Images

A hybrid framework that integrates Principal Component Analysis, Local Binary Patterns, Wavelet Scattering Transform, and the XGBoost classifier for color texture classification is presented, demonstrating that the two selected complementary feature extraction methods provide a compact yet effective representation for color texture classification on these datasets.

Zahoor M. Aydam, Baidaa Mutasher Rashed, Nidhal K. El Abbadi · 0 citations