期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2013
卷号：3
期号：6
页码：358-367
出版社：Technopark Publications
摘要：The growth of computer vision technology in all over the world has led to necessity of the efficient retrieval system. In the proposed system, amalgamation of two features such as color and shape has been implemented which are extracted by amelioration of color mean and edge detection using novel masks respectively. In color feature extraction, row mean, column mean are extracted. These feature vectors are applied on to the original, original with even and original with odd image. In shape feature extraction, the extracted feature vector is magnitude of five types edges (horizontal, vertical, 45, 135 degree and isotropic). Also Hough Transform is used to extract the edge features. Using different types of masks, the feature vector is obtained from the original image. Similarity measurement is performed by Euclidean Distance measure. The performance of the system is analyzed by precision and recall. This system provides the efficient retrieval of images with high precision rate
