Research On Key Techniques Of Image Retrieval

With rapid advances in communication and multimedia computing technologies, accessing mass amounts of multimedia data is becoming a reality.The Content-based Image Retrieval (CBIR)technology can exactly meet the needs mentioned above.The key techniqueson region-based image retrieva and matching algorithm is elucidated in detail in this paper. Several key phases in low-feature-based image retrieval are feature extraction, image segmentation and image matching. The method presented in this paper firstly extracts the color and texture feature from every part in total 6-dimensional feature vector. Secondly this method segments the image into regions using a clustering method named fuzzy C-means algorithm,then makes some improvements based on the FCM method. For several categories of images which have the characteristics of easily distinguished object and background oncolor and texture, one method is presented used to merge the regions and the segmentation results show that this method is satisfying. For the purpose to lower the inaccuracy caused by the image segmentation, this paper uses a fuzzy feature representation method based on the Cauchy function to represent the region features.In the phase of region matching, this paper elucidates some matching algorithms commonly used and makes a debate on the image retrieval efficiency based on the IRM matching scheme.In order to improve the retrieval efficiency,for several categories of images which have large background areas and simple color and texture, this paper makes some improvements based on the IRM method.