文章基本信息

标题：Image Retrieval using DST and DST Wavelet Sectorization
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作者：H B Kekre ; Dhirendra Mishra
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：6
DOI：10.14569/IJACSA.2011.020613
出版社：Science and Information Society (SAI)
摘要：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 precision-recall 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 has been performed.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; CBIR; Feature extraction; Precision; Recall; LIRS; LSRR; DST; DST Wavelet.