Garment Image Retrieval Based on Multi-features

摘要：

In order to meet the requirements of users, a content-based image retrieval algorithm for electronic commerce has been investigated combining color features with shape features. The algorithm of image retrieval using both the invariant moment and the Fourier descriptor is proposed to retrieve the shape features of image. The secondary retrieval has been done in succession by use of modified color histogram. To avoid the influence of background, a method of image background elimination is proposed prior to the image retrieval using multi-features. Experimental results show that the algorithm is accuracy. The methods of garment image retrieval based on multi-features are promising to be useful for applications of online shopping.

关键词： image retrieval invariant moment background elimination color histogram

作者: Hou A-Lin Zhao Liu-Qing Shi Dong-Cheng

作者单位: College of Computer Science and Engineering Changchun University of Technology Changchun,P.R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 194-197

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）