期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：5
页码：111
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper proposes a new invariant corner detection algorithm using steerable filters and Harris cornerdetection. The steerable filters have better orientation selectivity and multi-orientation imagedecomposition that provide a useful front-end for image-processing and computer vision applications.Corners, in image analysis, are important features for image registration, stereo matching, motion trackingand object recognition. These corners are referred as interest points or key points for image registration. Inthis paper, we compare the performance of SUSAN, Harris, and propose corner detectors in terms ofconsistency.
