A Comparative Study for Methods of Content Search in Multimedia Databases with Endoscopic Images

摘要

This is a comparative study for nerecursive algorithms content search in multimedia databases with endoscopic images are based three methods of deciding the similarities between the models of images Minkowsky distance, generalized measure Jaccard and correlated measure Pearson. The performance of the search has been measured according to three parameters reapel, precision and the quality of retrieval. The model of representing the images are the normalized color histogram. The color space of the images are RGB reduced to 125 and 256 colors and HSV reduced to 162 and 256 colors. The study was realized in a database containing 360 images grouped in 23 categories. The results are presented both in tables and graphs.