Image Feature Extraction of Moment of Inertia Based on Otsu Threshold Segmentation

摘要：

　　In order to better extract image feature and recognition,a novel feature extraction algorithm of the binary image processing using Otsu combined with normalized moment of inertia (NMI) is put forward.Firstly,the image is processed into binary image and the target area is effectively segmented utilizing Otsu algorithm based on the criteria of maximal variance between-class,secondly,the NMI feature of the binary image is extracted,and finally,the extraction NMI feature is used in image recognition.Experimental results show that NMI feature of the binary image have the ability of anti-geometric distortions (translation,rotation and scaling,TRS),and anti-brightness distortions,the novel method have characteristics of simple extraction approach,little extraction parameter,easy implementation,and strong robustness.

关键词： Image segmentation Otsu method Feature extraction NMI feature

作者: Qing Liu Liming Zhao Lijun Zhang

作者单位: School of Physics & Information Science Tianshui Normal University Tianshui,Gansu,741001,China School of Physics & Information Science Tianshui Normal University Tianshui,Gansu,741001 ,China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1129-1132

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）