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题名:
A steady corner detection of gray level images based on improved Harris algorithm
作者: Liu, YR ; Hou, ML ; Rao, XJ ; et al.
出版日期: 2008
会议名称: IEEE International Con ference on Networking,Sensing and Control
学科分类: 自适应光学
中文摘要: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. Accurately and stably detecting corners is needed for good matching, even for image with rotation and noise. As a well known excellent corner detection method, Harris' technique has the shortcoming of lacking accuracy and stability for images with rotation and noise. This paper improves Harris' method for better locating corners as follows: the square neighbor of original method is replaced by round neighbor; the intensity change rate of horizontal and vertical directions in the square neighbor is replaced by the statistical intensity change rate according to different angles and radius. Experiments indicate that our method has better corner localization for synthetic, standard and natural images with rotation and noise.
收录类别: Ei
语种: 英语
ISSN号: 978-1-4244-1685-1
文章类型: 会议论文
页码: 708-713
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/1836
Appears in Collections:自适应光学技术研究室(八室)_会议论文

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Recommended Citation:
Liu, YR,Hou, ML,Rao, XJ,et al. A steady corner detection of gray level images based on improved Harris algorithm[C]. 见:IEEE International Con ference on Networking,Sensing and Control.
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文件名: 2008-012.pdf
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