Block information entropy and multi-scale texture based adaptive algorithm for image retrieval
S. Shiran · Computer Engineering and Applications Journal · 2012
An approach is proposed based on image color and texture features combined with genetic algorithm, where in color moments are the color histogram entropy values and the variances of the multiscale high frequency sub-bands of wavelet domain. This method amends the disadvantage of lacking spatial information of common color feature. The more important aspect is that this method cuts down the work of users’while using relevant feedback by using the selfadaptive character of Genetic Algorithm. By comparative experiments, the experiments show that the approach has good retrieval performance.