Image Retrieval using DST and DST Wavelet Sectorization

The concept of sectorization of the transformed images for CBIR is an innovative idea. This paper introduces the concept of Wavelet generation for Discrete sine transform (DST).The sectorization of the DST transformed images and the DST wavelet transforms has been done into various sector sizes i.e.4,8,12, and 16. The transformation of the images is tried and tested threefold i.e. row wise transformation, column wise transformation and Full transformation. We have formed two planes i.e. plane 1 and plane 2 for sectorization in full transformation .The performance of the all the approaches has been tested by means of the three plots namely average precisionrecall cross over point plot, LIRS (Length of initial relevant string of images) plot, LSRR (Length of string to recover all relevant images in the database) plot. The algorithms are analyzed to check the effect of three parameters on the retrieval First the way of transformation (Row, Column, Full), Second the size of sector generated, Third the type of similarity measures used. With the consideration of all these the overall comparison