Image Retrieval Methods and System Implementation Based on Color Segment Global Histograms
Fengling He · Journal of Jilin University(Science Edition) · 2006
Via the comparison of traditional histogram and segment based on histogram,a new image retrieval method of segment global histogram is proposed.The basic idea of segment global histogram is to divide image space into blocks according to a certain strategy,and then to calculate the color histogram of each block as the color feature of the corresponding block.Users assign a weight to each block according to the importance of the space information that the block contains.After the blocks with weight zero are merged into a single segment global histogram,on the system the distances between corresponding blocks with non-zero weight and the(distance) between partial segment global histograms are calculated.Then the overall distance accumulated(according) to weights given by users is regarded as the real distance between the two pictures.The pictures with less distances indicate less visional differences.Relevance-feedback is adopted to self-adjust the performance of the system.