Efficient content based image retrieval has developed tremendously in many application areas. Content based image retrieval research areas had established many systems

but these systems have deficiency for actually usage:(1) these systems are expected to process different kinds of image retrieval by same method and (2) these systems are designed without considering user requirement. In fact

different kinds of image retrieval need different retrieval mode. So it presents image interactive retrieval based on integrated region similarity match. This system is an image retrieval system with interaction and semantic classification of based on wavelet feature extraction and image integrated region similarity method. Compared with other retrieval methods of based on image content

the method enhances retrieval efficiency by permitting adaptive search and interaction and narrowing search area. Experiment result shows that the system is more precise and efficient than other retrieval systems.