A NONLINEAR METHOD FOR EDGE DETECTION OF LOW SNR IMAGE

Lei Xiangkang; Zhou Manli

Volume 13 Issue 1

Jan. 1991

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Zheng Zhi-Dong, Yuan Hong-Gang, Zhang Jian-Yun. Multitarget Localization Based on Sparse Representation for Bistatic MIMO Radar in the Presence of Impulsive Noise[J]. Journal of Electronics & Information Technology, 2014, 36(12): 3001-3007. doi: 10.3724/SP.J.1146.2013.01861

Citation:

Lei Xiangkang, Zhou Manli. A NONLINEAR METHOD FOR EDGE DETECTION OF LOW SNR IMAGE[J]. Journal of Electronics & Information Technology, 1991, 13(1): 12-18.

Citation:

Lei Xiangkang, Zhou Manli. A NONLINEAR METHOD FOR EDGE DETECTION OF LOW SNR IMAGE[J]. Journal of Electronics & Information Technology, 1991, 13(1): 12-18.

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A NONLINEAR METHOD FOR EDGE DETECTION OF LOW SNR IMAGE

Lei Xiangkang^{①②;周曼丽},
Zhou Manli

Received Date: 1989-12-04
Rev Recd Date: 1990-07-03
Publish Date: 1991-01-19

Abstract

Abstract

A nonlinear method for detecting the edge of low-SNR image is developed. This method adopts the filtering in large window to smooth the noise and the nonlinear differential operator in small window to detect the edges. A criterion of noise-guided threshold selection is introduced to segment the derivative image so that the threshold can be determined automatically. In large window s filtering, the technique of 2-D convolution implementation by two 1-D convolutions in series is taken to reduce the storage space of the filter. Finally, the performance of this method is evaluated, and experimental results are given.

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References(1)

References

D. Marr, E. C. Hildretli, Theory of edge detection, Proc. R. Soc. London. B207, (1980), 187-217.[2]R. M. Haralick, IEEE Trans. on PAMI, PAMI-6(1984)1, 56-68.[3]W. E. L. Grimson, IEEE Trans. on PAMI, PAMI-7(1985)1, 121-127.[4]Shen, S. Castan, An optimal linear operator for edge detection, Proc, CVPR-86, Miami, (1986), 109-114.[5]J. S. Chen, IEEE Trans. on PAMI, PAMI-11(1989)2, 191-198.[6]V. Berzins, Computer Vision, Graphics and Image Processing 27(1984), 195-210.[7]Z. Xu, A further study on error probabilities of Laplacian-Gaussian edge detection, Proc. 8th ICPR, Paris, (1986), 601-603.[8]A, L. D. Beckers, Metingen van Parameters voor Niet-lineaire Objectgrootte-fillters in beelden, Ingenieur's[9]thesis, Department of Applied Physics, Delft University of Technology, Dutch, (1986), 601-603.

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