Based Color And Shape Image Retrieval

In modern society, the application of Internet is becoming more and more popular, the means by which we quickly from the huge image to search their own desired image is very important. Content based image retrieval is to adapt to mass image data access and retrieval operation of such a technique, the content based image retrieval and some key technologies are discussed, based on the color feature and shape feature of image retrieval technology are analyzed.Content based image retrieval as the current multimedia data query and retrieval, in this paper, for the content based image retrieval concept, system structure, process and retrieval methods in detail, and the image retrieval user query interface classification and query the way also carried out some research. The image color feature and shape feature extraction, indexing method and retrieval method has carried on the detailed analysis.The content based image retrieval technology related key technologies are discussed, and its application fields are analyzed, pointed out the future research emphasis and direction of image retrieval. Design and Realization of a simple image retrieval prototype system. The prototype system considering the image color feature and shape feature, in the extraction of image color properties, but also on the target image local shape are described, can adapt to the different needs of different users, to improve the retrieval performance, and can be applied to based on color feature, shape feature and combination of the two based on multiple features information retrieval. Comprehensive multi feature retrieval accuracy and speed are very high, thus avoiding the single color or shape feature based retrieval takes long time and search algorithm of complex defects.Content based retrieval and query need to gradually improve, the retrieval process is often the need for image features timely adjustment and to match, so that reach the anticipated result retrieval. The technology of relevance feedback feedback message is that we are on the retrieval of adjustment important basis, therefore, we in the system of image retrieval, the search results in each image and target image similarity retrieval change again, this makes the image retrieval accuracy has been greatly improved.