MERF Based Edge Detection with Adaptive Threshold

Yue Si-cong; Zhao Rong-chun; Zheng Jiang-bin

doi:10.3724/SP.J.1146.2007.00845

Volume 30 Issue 4

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(4): 957-960

Yue Si-cong, Zhao Rong-chun, Zheng Jiang-bin . MERF Based Edge Detection with Adaptive Threshold[J]. Journal of Electronics & Information Technology, 2008, 30(4): 957-960. doi: 10.3724/SP.J.1146.2007.00845

Citation:

Yue Si-cong, Zhao Rong-chun, Zheng Jiang-bin . MERF Based Edge Detection with Adaptive Threshold[J]. Journal of Electronics & Information Technology, 2008, 30(4): 957-960. doi: 10.3724/SP.J.1146.2007.00845

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MERF Based Edge Detection with Adaptive Threshold

doi: 10.3724/SP.J.1146.2007.00845

Received Date: 2007-06-01
Rev Recd Date: 2007-11-25
Publish Date: 2008-04-19

Abstract

Abstract

An MERF based edge detection algorithm with adaptive threshold is presented in this paper. After analyzing dyadic wavelet transform and different behavior of edge and noise across scales, a Multi-scale Edge Response Function (MERF) is defined as the multiple scales point-wise products of the DWT to enhance significant image structures and suppress noise. Thereafter, an adaptive threshold for MERF is calculated and imposed on the module of MERF to identify edges as the local maxima of the gradient map without synthesizing the edge maps at several scales together, which was employed in many multi-scale techniques. Experiments on synthetic benchmark and natural images showed that the proposed MERF based adaptive threshold edge detection algorithm achieves better detection results than that for a single scale, especially on the localization performance; and edge and noise can be better distinguished by MERF comparing with the Laplacian of Gaussian (LOG), Canny edge detection and Mallat wavelet based edge detection algorithms.

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References(1)

References

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