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：2
DOI：10.14569/IJACSA.2011.020212
出版社：Science and Information Society (SAI)
摘要：An innovative idea of sectorization of Full Kekre’s Wavelet transformed (KWT)[1] images for extracting the features has been proposed. The paper discusses two planes i.e. Forward plane (Even plane) and backward plane (Odd plane). These two planes are sectored into 4, 8, 12 and 16 sectors. An innovative concept of sum of absolute difference (AD) has been proposed as the similarity measuring parameters and compared with the well known Euclidean distance (ED).The performances of sectorization of two planes into different sector sizes in combination with two similarity measures are checked. Class wise retrieval performance of all sectors with respect to the similarity measures i.e. ED and AD is analyzed by means of its class (randomly chosen 5 images) average precision- recall cross over points, overall average (average of class average) precision-recall cross over points and two new parameters i.e. LIRS and LSRR.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; CBIR; Kekre’s Wavelet Transform (KWT); Euclidian Distance; Sum of Absolute Difference; LIRS; LSRR; Precision and Recall.
