Please use this identifier to cite or link to this item: https://doi.org/10.1016/0031-3203(95)00097-6
Title: Cluster-based color matching for image retrieval
Authors: Kankanhalli, M.S. 
Mehtre, B.M. 
Wu, J.K. 
Keywords: Clustering
Color
Matching
Measure
Retrieval
Issue Date: Apr-1996
Citation: Kankanhalli, M.S., Mehtre, B.M., Wu, J.K. (1996-04). Cluster-based color matching for image retrieval. Pattern Recognition 29 (4) : 701-708. ScholarBank@NUS Repository. https://doi.org/10.1016/0031-3203(95)00097-6
Abstract: Color is an important attribute for image matching and retrieval. We present a new method for color matching based on a clustering algorithm in 3-D color space. We define a new color feature to characterize the color information and a distance measure to compute the color similarity of images. We have implemented this technique and tested it for a database of approximately 170 images. The test results show that the 'Efficiency of Retrieval' of this new method is very high.
Source Title: Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/111154
ISSN: 00313203
DOI: 10.1016/0031-3203(95)00097-6
Appears in Collections:Staff Publications

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