Shape Prior Extracted by 2D-PCA for Intensity-based Image Segmentation

摘要：

　　In order to address the shadow,shelter problems in image segmentation,a novel intensity-based model with shape prior constraint is proposed in this paper.Two dimemional principle component analysis (2D-PCA) approach and pre-image strategy are exploited to extract the shape prior.The obtained shape prior term is then incorporated into the intensity-based segmentation model to develop a new image segmentation algorithm.The airplane shapes are selected for segmentation to evaluate the performance of our proposed method.The experimental results show that the new segmentation approach is effective.

关键词： Image segmentation 2DPCA shape prior

作者: Zhen-He Liu Bo Chen Wen-Sheng Chen

作者单位: College of Mathematics and Computational Science, Shenzhen University, Shenzhen 518060, PR China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 65-68

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）