Texture Image Retrieval Based on Statistical Characteristic of Dyadic Wavelet Transform
Ping Zhao, Zhaowei Shang · Jisuanji gongcheng · 2007
The dyadic wavelet transform utilizes local modulus maximum of a wavelet transform to obtain multiscale edges information.This paper analyzes the statistical characteristics of the wavelet detail coefficients of the dyadic wavelet transform,and brings forward the wavelet coefficients histogram of nature texture image which can be modeled by a family of exponentials.It studies the ways to extract the texture features using the first-order and second-order(co-occurrence) based on the dyadic wavelet transform.Experimental results show that methods of Manjunath and second-order of the dyadic wavelet are better than that of scalar wavelet on texture image retrieval.