Fast Extraction of Similar Partial Images Based on Positional Relationship of Representative Color Regions

We engage in Study of VIEWGLE which quickly retrieves viewing data of digital images, large-capacity images, and use an algorithm to quickly extract the similar partial image in there. In this paper, we suggest the general method using the algorithm and examine the processing time and accuracy. Our method composes 3 steps. The first step is a preprocessing for large-capacity images and stores the result. After bringing a input image, the second step extracts candidates of target parts by rough similarity estimation. Finally the third step calculates similarity values between the candidates and input images and discovers optimal target parts by searching for the maximum similarity in the response surface method. We have not guaranteed the accuracy and exactitude of the partial image retrieval yet, however the result of this paper, the technique realizes nearly quick retrieval from large-capacity images.