Research On The Color-Based Image Retrieval

As an important vision information of image, the color features are simple and have better robustness, which has been broadly used in the Content-Based Image Retrieval (CBIR).The expression of image color space, the color quantification and color feature extraction method are analyzed and discussed in this paper.First, it compares RGB and HSV color space model, introduces the color quantification methods. On this basis, the extraction methods of the common color features and the color-spatial distribution information are analyzed and discussed emphatically.Second, the color histogram lacks the color-spatial distribution information, has many feature dimensions and large memory capacity shortcomings. In this paper, the following improvements are made: (1) In order to obtain the color-spatial distribution information, an equal-area ring partition is proposed. The method not only keeps the color histogram rotation invariant, but also focuses on the dominant position of the image center, which is conformed to the visual characteristic. (2) The extraction method of the main color which uses the K-means algorithm is improved. The improved method extracts the main color histogram well, which reduced the number of features and maintained the color expression precision well. (3) Based on the above research, a partition main color image retrieval algorithm is proposed: partition the image using the equal-area ring method and statistic the partition's main color histogram. This retrieval algorithm has advantages of both the equal-area ring partition and main color histogram. The experiment shows that the partition main color method can improve the retrieval results. (4) To further improve the efficiency, integrated the partition main color method and partition color moment methods. The experiment shows that the combination of search retrieval method is more effective than the single. Finally, an image retrieval prototype system (IRS) is detailed designed and implemented. Based on this prototype system, the image retrieval methods, which are proposed in this paper, are carried on and analyzed the algorithm's performanceThe theoretical analysis and experimental results show that the partition main color image retrieval method can improve the retrieval accuracy and improve the retrieval results.