Abstract
This paper presents an image retrieval system using HSV color indexes. We classify the image into a fixed number of blocks, extract the key value of each block and assign the index code, which is classified by 24, to the HSV color space. The index code of each image is stored in the database. The desired image is retrieved on the web. Retrieval system outputs the image with a high matching factor according to a distribution chart. A small demonstration system has been tested and shows superior performance compared with the simple color based retrieval system.
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© 2007 Springer-Verlag Berlin Heidelberg
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Park, J., Kang, S., Jeong, I., Rasheed, W., Park, S., An, Y. (2007). Web Based Image Retrieval System Using HSI Color Indexes. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_23
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DOI: https://doi.org/10.1007/978-3-540-74282-1_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74281-4
Online ISBN: 978-3-540-74282-1
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