SUSAN—A New Approach to Low Level Image Processing

被引:7
作者
Stephen M. Smith
J. Michael Brady
机构
来源
International Journal of Computer Vision | 1997年 / 23卷
关键词
Image Processing; Artificial Intelligence; Computer Vision; Computer Image; Reduction Method;
D O I
暂无
中图分类号
学科分类号
摘要
This paper describes a new approach to low level image processing; in particular, edge and corner detection and structure preserving noise reduction.
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收藏
页码:45 / 78
页数:33
相关论文
共 64 条
[1]  
Akarun L.(1992)Adaptive decimated median filtering Pattern Recognition Letters 13 57-62
[2]  
Haddad R.(1988)On the midrange estimator IEEE Trans. on Acoustics, Speech and Signal Processing 36 920-922
[3]  
Arce G. R.(1984)Alpha-trimmed means and their relationships to median filters IEEE Trans. on Acoustics, Speech and Signal Processing 32 145-153
[4]  
Fontana S. A.(1984)The weighted median filter Commun. ACM 27 807-818
[5]  
Bedner J. B.(1986)A computational approach to edge detection IEEE Trans. on Pattern Analysis and Machine Intelligence 8 679-698
[6]  
Watt T. L.(1989)Surface reconstruction from outdoor image sequences Image and Vision Computing 7 10-16
[7]  
Brownrigg D. R. K.(1983)Quantitative evaluation of some edge-preserving noise-smoothing filters Computer Vision, Graphics and Image Processing 23 67-91
[8]  
Canny J. F.(1978)Noise cleaning by iterated local averaging IEEE Trans. on Systems, Man and Cybernetics 8 705-710
[9]  
Charnley D.(1987)Using Canny's criteria to derive a recursively implemented optimal edge detector Int. Journal of Computer Vision 1 167-187
[10]  
Blissett R. J.(1981)Volumetric model and 3D trajectory of a moving car derived from monocular TV-frame sequence of a street scene Computer Vision, Graphics and Image Processing 20 199-228