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Integrating Boundary Cue with Superpixel for Image Segmentation

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2 Author(s)
Linjia Sun ; State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China ; Xiaohui Liang

This paper researches image segmentation as a global optimization problem and proposes a new way, which is called superpixel status model, to integrate boundary and region cue. Superpixel status model is a label model which describes the joint distribution of boundary and region classification in a Bayesian framework. For organizing a boundary classifier, the contour of super pixel is decomposed into multiple line segments, and a robust line descriptor is presented to form line feature vector. Finally, an objective function is defined to assemble all super pixels statuses across the entire image for segmentation. Experiments and results show that the effectiveness of our approach.

Published in:

Image and Graphics (ICIG), 2011 Sixth International Conference on

Date of Conference:

12-15 Aug. 2011