Image retrieval approach integrated color and multi-scale texture features by Adaboost algorithm
Wang Xiao-feng · Electronic Design Engineering · 2012
Feature extraction is one of the key steps in content-based image retrieval,but one feature based approach expresses only partial attributes of an image,which unilaterally describes the image content and is short of enough resolving power.This method may not achieve ideal result in the case of images varying greatly.Taking advantage of adaboost algorithm and relevance feedback mechanism,a technology was proposed based on image color and texture features.The experiment shows that the approach has good retrieval performance.