Image Processing by Invariant Moments: Texture Segmentation Based on Pseudo Jacobi-Fourier Moments

摘要

Texture segmentation by Pseudo Jacobi -Fourier moments is presented in this paper. Given a window size, moments for each pixel in the image are computed within small local windows, and then texture feature images be obtained by using a nonlinear transducer. Finally, each pixel in the image is classified by K-mean clustering algorithm.