Image Segmentation Based on Supernodes and Region Size Estimation

Authors:
Yuan Yuan;Lihong Ma;Hanqing Lu
Affiliations:
School of Electronic and Information Engineering, South China Univ. of Tech., Guangzhou, China 510640;School of Electronic and Information Engineering, South China Univ. of Tech., Guangzhou, China 510640;National Lab of Pattern Recognition, Inst. Automation, Chinese Academy of Science, Beijing, China 100080
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

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Abstract

A kind of self-adaptive image segmentation algorithm is introduced in this paper, and of which the main frame is based on Graph Structure. Two contributions have been made in our work. First, super-pixels act as the graph nodes for computational efficiency, at the same time, more local features could be abstracted from the pre-segmented image. Second, region size is estimated during the process to reduce interaction between human and computer. Experimental results demonstrate that the improved method is unsupervised and could give satisfactory segmentation.