Wavelet Texture And Color Histogram Is A Combination Of Image Retrieval Technology

Content-based image retrieval is a very active research area in digital image processing, whose purpose is to find out the user required image objectively. CBIR is extensively researched in commercial fields and research areas. The key technology of CBIR is to extract the image's feature data, which has a direct effort on the preciseness of the image retrieval method.The image retrieval algorithm which combine wavelet texture feature and color histogram is deeply studied in this paper. And the main achievements of this thesis are as follows:1. The retrieval algorithm based on Gabor transform and corlor histogram is researched, and analysis the application of this algorithm in CBIR. Then the retrieval algorithm is simulated with MATLAB.2. The applications of the curvelet transform is studied in CBIR to extract texture feature. Based on the curvelet transform, a novel image retrieval algorithm based on curvelet teansform and color histogram is proposed. And the algorithm is simulated with MATLAB. Compared the differences between the proposed method with the method based on Gabor teansform and color histogram, the simulation results show that the new algorithm has better precision.3. Completed a Content-based image retrieval system and designed each modules with VC++ and MSSQL.