文章基本信息

标题：Parts Shape Recognition Based on Improved
本地全文：下载
作者：Yang, Huicheng ; Ma, Ying ; Yang, Hui 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2014
卷号：9
期号：10
页码：2371-2378
DOI：10.4304/jcp.9.10.2371-2378
语种：English
出版社：Academy Publisher
摘要：Harris corner detection algorithm called Harris corner detector is a very effective corner algorithm for gray-scale images. The corners extracted by Harris corner detector are stable, reliable, homogeneous and reasonable. However, it has own inevitable limitations. For the shape recognition of parts, an improved Harris corner detector is proposed in this paper. Based on the analysis of Harris corner detector, B-spline function is chosen as smooth filter instead of Gaussian function. And then the convolution template of B-spline function is provided. Some experiment results indicate that the improved Harris corner detector is effective and superior.
关键词：hape recognition; Harris corner detector; smooth filter; Gaussion function; B-spline function; convolution template.