Fast and robust portrait segmentation using QEA and histogram peak distribution methods

Authors:
Heng Liu;David Zhang;Jingqi Yan;Zushu Li
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, P.R.China;Department of Computing, The Hong Kong Polytechnic University, Hong Kong, P.R.China;Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, P.R.China;Institute of Intelligent Automation, Chongqing University, Chongqing, P.R.China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Year:
2005

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Abstract

Image segmentation is kernel part of image analysis and processing. Fast and robust portrait segmentation and fusion is still a challenging problem by far. In this paper, we present two fast and robust methods to segment portrait in blue background. One method is threshold obtaining based on histogram peak distribution, the other is Quantum Evolution Algorithm (QEA) threshold searching based on group variance. Detailed experiments and comparison analyses are presented to demonstrate the performance of our methods.