Efficient Image Retrieval Using Adaptive Segmentation of HSV Color Space

This paper presents an efficient image retrieval system using adaptive segmentation of hue, saturation and value (HSV) color space. We classify the image into n number of areas based on different selected ranges of hue and value, then each area is partitioned into m number of segments based on the number of pixels it contains, the area which has more pixels will be partitioned into more segments and the area which has less pixels will be partitioned into less number of segments. This is used as a feature vector. Retrieval system outputs the image with a high matching factor. A small demonstration system has been tested and shows superior performance compared with the simple color based retrieval systems.