Image Segmentation Based on Visual Perception Model

摘要：

　　Image segmentation is the basis of image processing and image analysis.However,there are no common method that can be used in natural images,and present methods fail to explain understandings of humans visual system.In this paper,we propose to apply Karklins visual perception model to extract feature vectors of images,and the features are clustered with K-means method.The results obtained in feature space are projected back to the image space to finish segmentation.A comparison with the Normalized Cuts (Ncut)method is done,and it turns out that proposed method outperform Ncut in texture rich images.

关键词： Visual perception model Image segmentation Normalized cuts Feather extraction

作者: Shuai Shao Fuqing Duan Ping Guo

作者单位: Image Processing and Pattern Recognition Laboratory Beijing Normal University,Beijing, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 72-74

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）