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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kai-Kuang Ma Junxian Wang |
| Copyright Year | 2002 |
| Description | Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore (Kai-Kuang Ma; Junxian Wang) |
| Abstract | A novel color image descriptor, called color distance histogram (CDH), is proposed in this paper as a fundamental signal feature, readily to be exploited for various color image applications, such as indexing and retrieval, segmentation, and so on. To establish CDH, color image is first represented in CIE L*a*b* color space, followed by using CIE L*a*b*'s uniform color distance metric on computing the distance of each pixel with respect to the reference color. Consequently, CDH accurately reflects the degree of color similarity of individual pixel with respect to the reference color. To demonstrate the use and effectiveness of CDH, it is further extended into a set of CDHs, called dominant color profile (DCP), for color image segmentation. Experimental results clearly indicate that the proposed CDH-based or DCP-based segmentation method yields superior segmentation to other thresholding and clustering methods, in terms of accuracy, robustness, efficiency and computational complexity. |
| Starting Page | 1228 |
| Ending Page | 1232 |
| File Size | 319994 |
| Page Count | 5 |
| File Format | |
| ISBN | 9810483643 |
| DOI | 10.1109/ICARCV.2002.1234948 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-12-02 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Nanyang Technological Univ |
| Subject Keyword | Histograms Color Image segmentation Indexing Image retrieval Extraterrestrial measurements Pixel Clustering methods Robustness Computational complexity |
| Content Type | Text |
| Resource Type | Article |
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