Image Retrieval with Adaptive SVM and Random Decision Tree

In this paper, we conduct research on the image retrieval algorithm based on the support vector machine and the decision tree. Image database retrieval system is the core part of the image database, the system uses a certain algorithm of image to transform the image data in the database, operation and organization, and connecting with the complete image database retrieval algorithm of the image retrieval function, in order to obtain the retrieval results, to meet the needs of users to meet the needs of its users. Have the feature such as shape, texture, color data, which determines the image database has a different way of conventional database retrieval. In order to improve the efficiency of the image database retrieval, must be carefully designed the structure of image database retrieval system, adopt efficient image retrieval method quickly. Our research proposes the novel perspectives of the related issues that obtain the feasible and effective.