Image Retrieval Based on Contour and Relevance Feedback

摘要：

　　In this paper an algorithm is proposed to retrieve images based on contour moment invariants of image and relevance feedback.Firstly,the contour of each query image is extracted and its contour moment invariant is computed.Then according to Euclid Distance between the query image and each image in the image database,the most similar images to the query image can be found.Finally,the relevance feedback algorithm based on support vector machine (SVM) is applied to improve retrieval precision.Experimental results show that the algorithm is more accurate and efficient to retrieve images with monotonous background and clear object and meet the invariance on shift,rotation and scale transform of objects.

关键词： CBIR Contour Moment Invariants SVM Relevance Feedback

作者: Wei Lu

作者单位: Aviation Engineering College,Civil Aviation Flight University of China,Guanghan Sichuan,China,618307

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 1771-1775

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）