NDLI: Adaptive threshold edge detection with noise immunity by multi-scale analysis

Content Provider	IEEE Xplore Digital Library
Author	Si-Cong Yue Rong-Chun Zhao Jiang-Bin Zheng
Copyright Year	2007
Description	Author affiliation: Northwestern Polytech. Univ., Xian (Si-Cong Yue; Rong-Chun Zhao; Jiang-Bin Zheng)
Abstract	An adaptive threshold edge detection algorithm based on dyadic wavelet transform is presented in this paper. At first a multi-scale edge response function (MERF) is defined as the multiple scales point-wise products of the dyadic wavelet transform to enhance significant image structures and suppress noise. Thereafter, an adaptive threshold is calculated and imposed on the MERF to identify edges as the local maxima of the MERF 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 adaptive threshold multi-scale 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 Mallat wavelet-based multi-scale algorithm and Canny edge detector.
Starting Page	1759
Ending Page	1764
File Size	507553
Page Count	6
File Format	PDF
ISBN	9781424410651
DOI	10.1109/ICWAPR.2007.4421738
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Algorithm design and analysis Smoothing methods Image edge detection wavelet transform MERF Wavelet analysis Discrete wavelet transforms Pattern recognition adaptive threshold Filters Detectors Pattern analysis Edge detection
Content Type	Text
Resource Type	Article

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