Content-Based Image Retrieval Using Automatically Determined Color Regions of Images

In the content-based image retrieval systems such images what are similar to a given image can be retrieved, that consist some features or of the whole image, either of the homogeneous connected regions of the image. If the creation of the applied feature vectors is made by the homogeneous connected regions, then there is a great significance of the determination process of the objects. In this paper a segmentation algorithm is presented which uses automated parameter detemination, and a color histogram based similiraty measure is defined between images comprised color regions generated on the above-mentioned way. The test results prove the applied procedures are suitable for a the solution of the formulated task.