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Content Provider | IEEE Xplore Digital Library |
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Author | Vasquez, D. Scharcanski, J. Wong, A. |
Copyright Year | 2015 |
Description | Author affiliation: Inst. of Inf., Fed. Univ. of Rio Grande do Sul - UFRGS, Porto Alegre, Brazil (Vasquez, D.) || Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada (Wong, A.) || Grad. Program on Electr. Eng., Fed. Univ. of Rio Grande do Sul - UFRGS, Porto Alegre, Brazil (Scharcanski, J.) |
Abstract | This paper describes an automated method for segmenting color images based on a modified stochastic region merging strategy with multi-scale spatial constraints. First, a bilateral decomposition is performed, and an over-segmentation process is then performed based multichannel information and multi-scale gradients. Next, each sub-region is represented using a normalized color histogram in the CIE L*a*b* color space, and a region adjacency graph is constructed based on the over-segmentation results. Finally, a stochastic region merging strategy with spatial constraints is performed on the region adjacency graph to construct one segmentation map for each scale of representation. Our preliminary visual and quantitative experimental results on the Berkeley image database (BSDS500) are encouraging, and suggest that our proposed approach can provide accurate segmentation results. |
Starting Page | 35 |
Ending Page | 40 |
File Size | 2312209 |
Page Count | 6 |
File Format | |
ISBN | 9781479961146 |
DOI | 10.1109/I2MTC.2015.7151236 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-05-11 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image segmentation Histograms Visualization Image color analysis Color image segmentation Image edge detection Image processing Merging Color Object detection Stochastic region merging |
Content Type | Text |
Resource Type | Article |
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