Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=54060#.VOBZuyzQrzE Author(s) Ammar Huneiti , Maisa Daoud Affiliation(s) Department of Computer Information Systems, the University of Jordan, Amman, Jordan . ABSTRACT Content-Based Image Retrieval (CBIR) from a large database is becoming a necessity for many applications such as medical imaging, Geographic Information Systems (GIS), space search and many others. However, the process of retrieving relevant images is usually preceded by extracting some discriminating features that can best describe the database images. Therefore, the retrieval process is mainly dependent on comparing the captured features which depict the most important characteristics of images instead of comparing the whole images. In this paper, we propose a CBIR method by extracting both color and texture feature vectors using the Discrete Wavelet Transform (DWT) and the Self Organizing...
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