Abstract
This paper presents a novel framework for image segmentation. In this framework, image segmentation is considered to be a detection problem, and a "soft" segmentation objective function, in terms of the detection performance measure in local regions, is employed to guide the segmentation procedure. The human visual system information is also incorporated into the segmentation procedure to improve the efficiency of the framework by introducing a contrast sensitivity function-weighting operation in the wavelet domain. Encouraging experimental results are obtained when the algorithm is applied to real-world image data.
| Original language | English (US) |
|---|---|
| Title of host publication | 2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings |
| Pages | 18-21 |
| Number of pages | 4 |
| State | Published - Dec 1 2010 |
| Event | 2010 13th Western New York Image Processing Workshop, WNYIPW 2010 - Rochester, NY, United States Duration: Nov 5 2010 → Nov 5 2010 |
Publication series
| Name | 2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings |
|---|
Other
| Other | 2010 13th Western New York Image Processing Workshop, WNYIPW 2010 |
|---|---|
| Country | United States |
| City | Rochester, NY |
| Period | 11/5/10 → 11/5/10 |
Keywords
- Human visual system
- Image segmentation
- Markov random fields
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
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Cite this
Peng, R., & Varshney, P. K. (2010). A HVS-driven image segmentation framework using a local segmentation performance measure. In 2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings (pp. 18-21). [5649767] (2010 Western New York Image Processing Workshop, WNYIPW 2010 - Proceedings).