期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2011
卷号：2
期号：3
页码：23
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Content based image retrieval (CBIR) is the task of searching digital images from a large database basedon the extraction of features, such as color, texture and shape of the image. Most of the research in CBIRhas been carried out with complete queries which were present in the database. This paper investigatesutility of CBIR techniques for retrieval of incomplete and distorted queries. Studies were made in twocategories of the query: first is complete and second is incomplete. The query image is considered to bedistorted or incomplete image if it has some missing information, some undesirable objects, blurring, noisedue to disturbance at the time of image acquisition etc. Color (hue, saturation and value (HSV) color spacemodel) and shape (moment invariants and Fourier descriptor) features are used to represent the image.The algorithm was tested on database consisting of 1875 images. The results show that retrieval accuracyof incomplete queries is highly increased by fusing color and shape features giving precision of 79.87%.MATLAB ® 7.01 and its image processing toolbox have been used to implement the algorithm.
关键词：Content based image retrieval; color image; incomplete query image; color feature; shape feature.
