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 |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.