Matching of textile image based on the biggest multi-symbol information entropy

Detecting the composing of the textile image by using machine vision technology.The matching way of textile image was researched.The entropy function is a continuous function and has extreme property.The biggest multi\|symbol information entropy was applied into the detection and matching of fabric images,each point in an image was considered as a one\|symbol source,the whole image was considered as multi\|symbol source.The information entropy of the selected sub\|image in the textile image of finished product which has the same size as the standard sub\|image was calculated.If the information entropy of the selected sub\|image was equal to that of the standard image,the standard sub\|image was detected from the textile image,otherwise the standard sub\|image was not detected.The experimental results indicate that method is efficient and practicable.