Fractional differentiation for edge detection

被引:329
作者
Mathieu, B [1 ]
Melchior, P [1 ]
Oustaloup, A [1 ]
Ceyral, C [1 ]
机构
[1] Univ Bordeaux 1, ENSEIRB, CNRS, UMR 5131,LAP, F-33405 Talence, France
关键词
image processing; edge detection; robust edge detector; noise immunity; fractional differentiation;
D O I
10.1016/S0165-1684(03)00194-4
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In image processing, edge detection often makes use of integer-order differentiation operators, especially order I used by the gradient and order 2 by the Laplacian. This paper demonstrates how introducing an edge detector based on non-integer (fractional) differentiation can improve the criterion of thin detection, or detection selectivity in the case of parabolic luminance transitions, and the criterion of immunity to noise, which can be interpreted in term of robustness to noise in general. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:2421 / 2432
页数:12
相关论文
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