An RST invariant image retrieval approach using color moments and wavelet packet entropy

摘要

Content based image retrieval is a way of indexing or finding images in a database those are similar to a query image. This process uses visual contents of images and provides more effective management for automatic retrieval of images of interest than the traditional tagged based approach. In this paper, color and texture features are used as visual contents to retrieve similar images from the database. Color Moments and Wavelet Packet Entropy are applied for extracting color and texture features respectively. Then the correlation between those components of query image and images of the dataset are computed. The images, in the database, that are mostly correlated with the query image are retrieved. The experimental results show better accuracy rate and less computational cost than some existing methods for RST invariant images.