红外技术Issue(8)：497-501,5.
基于熵空间理论和小波变换的红外图像纹理分割
The Texture Segmentation of Infrared Image Based on The Theory of Entropy Space and CWT
摘要
Abstract
The jamming of the background to the target is an important factor affecting the infrared equipment operational range. The research on target recognition method of the infrared image whose background is fog has important implications on the application of infrared equipment. This paper has broken through the traditional recognition method for infrared image target. Through research on the fog texture, one kind of natural texture, we extract texture energy of the infrared image on several frequency bands by continuous wavelet transform(CWT), and we have realized texture segmentation of the infrared image whose background is fog based on decomposition and synthesis theory of different particle size space of entropy space.关键词
红外图像/熵空间/小波变换/纹理分割Key words
infrared image/entropy space/wavelet transform/texture segmentation分类
信息技术与安全科学引用本文复制引用
胡清平,张晓晖..基于熵空间理论和小波变换的红外图像纹理分割[J].红外技术,2013,(8):497-501,5.
