CBIR Indexing System using Spatial Multi-Resolution Color Histogram
백정욱, An Young Eun, Jong-An Park · The Journal of Korean Institute of Information Technology · 2008
Color histogram is widely used for image indexing in content-based image retrieval (CBIR). A color histogram describes the global color distribution for an image. It is very easy to compute and is insensitive to small changes in viewing positions. However, the histogram is not robust to large appearance changes. Moreover, the histogram might give similar results for different images if the distributions of colors are same in the images. In this paper, we propose color histogram for different spatial resolutions. At first, the histogram for an image is calculated, and then the histograms are calculated for the lower resolutions of the image. The lower resolution images are generated by filtering the image with spatial median filters of various sizes. The distance between histograms of the query image and the corresponding histograms of images from a collection is calculated. The final distance is difference in the sum of the feature histograms of query image and the image database. The CBIR Indexing system algorithm proposed in this paper is tested on an image database comprising a large number and results are compared with the single resolution color histogram.