Please use this identifier to cite or link to this item:
|Title:||Cluster-based color matching for image retrieval|
|Authors:||Kankanhalli, M.S. |
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 12, 2019
WEB OF SCIENCETM
checked on Jan 2, 2019
checked on Dec 28, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.