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Content Provider | IEEE Xplore Digital Library |
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Author | Yuan, Y. Barner, K. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA (Yuan, Y.; Barner, K.) |
Abstract | Watershed algorithms were originally developed as gray-level dedicated transformations. However, well known scalar watershed algorithms can be easily adapted to include multispectral information, producing color segmentations in agreement with the human perception. The multispectral watershed algorithm introduced in this paper includes the use of a vector gradient for calculating the gradient magnitude image (GMI) and the choice of a uniform color space, such as the L*a*6*, for adapting the dissimilarity measures utilized in the merging stage. Experimental results are presented showing the advantages of the proposed adaptation method as well as advantages of combined homogeneity-edge integrity region merging criterion. |
Starting Page | 1117 |
Ending Page | 1120 |
File Size | 4443893 |
Page Count | 4 |
File Format | |
ISBN | 1424404800 |
ISSN | 15224880 |
DOI | 10.1109/ICIP.2006.312752 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-10-08 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Color Image segmentation Merging Humans Pollution measurement Filtering algorithms Gray-scale Nonlinear filters Image converters Multispectral imaging color system watershed region merging gradient magnitude image |
Content Type | Text |
Resource Type | Article |
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