Target Recognition of Household Service Robot Based On Shape Moment Invariants

摘要：

Target recognition technology is a difficulty in the research field of household service robot. In this paper, connected domains are picked out on the basis of color image segmentation, denoising and graying. The algorithm has improved through shape moment invariants and weighting Euclidean distance. The experiment results show that this algorithm is not sensitive to the light conditions and the perspective of camera. Furthermore, this algorithm has big advantage to distinguish objects with similar color and it is efficient, accurate and robust.

关键词： image processing shape moment invariants target recognition weighting Euclidean distance

作者: Wang Hao Hu Xiao-rong Fang Bao-fu Geng Wei Meng Fan-hui

作者单位: School of Computer and Information Hefei University of Technology Hefei city, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 82-85

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）