Texture Classification using Wavelet Scattering Transform (with MATLAB Code)
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Hello viewers. In this video, Texture Classification is presented based on Wavelet Scattering Transform (WST). WST is also briefly explained. This lecture explains that how WST coefficients can be used as feature vectors for classification task. Texture images are taken from KTH_TIPS and KYBERGE image databases.
This video includes following components,
Brief introduction to Wavelet Scattering Transform (WST).
Computing Image Features (WST Coefficients as Features).
Texture Image Databases used.
Training Algorithm.
Testing Procedure.
MATLAB Implementation (with MATLAB Code).
Link of previous videos:
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1. Introduction to Wavelet Theory and Its Applications: • Introduction to Wavelet Theory and its App...
2. Introduction to Wavelet Scattering Transform: • Wavelet Scattering Transform (WST) for Sig...
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