自适应阈值图像边缘检测方法<sup>*</sup>

doi:10.16451/j.cnki.issn1003-6059.201602010

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Abstract To detect the edge of noisy image, an adaptive thresholding based edge detection approach is proposed. In this approach, the differential operators of the two-dimensional Gaussian function are used to design the multi-oriented edge detection filter. The image gradient is computed based on the designed filters. To reduce the effect of noise to the gradient image, an adaptive method is proposed to determine the filter size based on the candidate thresholds. After the filter size is determined, an adaptive thresholding method is proposed to select the hysteresis threshold. The proposed edge detection approach is evaluated under different noise conditions in experiments. The relationships among filter sizes, hysteresis thresholds and the proposed algorithm performance are studied. Experimental results demonstrate that the proposed approach determines the filter size and hysteresis threshold based on the image noise adaptively and it produces good anti-noise performance.

Key words： Edge Detection Image Gradient Filter Size Hysteresis Threshold Adaptive Thresholding

Received: 16 December 2014

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	LI Minhua
	BAI Meng
	Lü Yingjun

Cite this article:

LI Minhua,BAI Meng,Lü Yingjun. Adaptive Thresholding Based Edge Detection Approach for Images[J]. , 2016, 29(2): 177-184.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201602010 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2016/V29/I2/177

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