Research And Implementation Of Image Retrieval System Based On Watershed Technology

With rapid development of multimedia technology and network, accessing and browsing mass amounts of multimedia data is becoming an exigent question, of which the Content-based Image Retrieval (CBIR) technology is the most important direction.This study has conducted the essential technology research of image segmentation and matching of CBIR. A watersheds algorithm of relative potential energy is presented in this paper. The presented algorithm calculates the relative potential energy of watersheds and compares them with the preestablished thresholds to remove the unnecessary details and get the important contour information. This method is introduced on the basis of the fast watersheds model. As a result, over-segmentation is effectively restrained, region fusing is avoided and the efficiency improved accordingly. Experimental results have shown that, compared with the original region-fusing algorithm, the efficiency has increased, and the over-segmentation phenomenon has been obviously improved. We also improve the integrated region matching Integrated Region Matching (IRM) to solve the matching of the regions. We propose regional center in accordance with the concept of regional center of mass and center picture of the relative positions of significant recalculation of the matrix, thereby gaining a better matching results. In addition, this paper also introduces the design of the system and the results of experiments. Although, now ,there it is not a successfully system of CBIR,a prototype has been developed to demonstrate the feasibility and efficiency of the system. In the end of this paper, I conclude the dissertation with future research directions.