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).
Download:
Texture Image Database: Download
Link of previous video:
1. Introduction to Wavelet Theory and Its Applications: Click Here
2. Wavelet Scattering Transform for Signals and Images: Click Here
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