Electronics Optics & Control, Volume. 25, Issue 5, 46(2018)

Edge Detection Algorithm of Gray Image

LI Xuan and ZHANG Hong
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  • [in Chinese]
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    Image edge detection has been widely used in practical applications, but the details of images are lost in the detection result. To solve the problem, a new image edge detection algorithm was proposed. Firstly, the two-dimensional binary wavelet transform was used to pre-process the image. Then, the edge points of the image were detected by using a new adaptive dual-threshold algorithm. Finally, an improved mathematical morphological gradient detection algorithm was used to further detect the edge information of the image. The simulation results show that: 1) The new algorithm can detect more edge information of the image, and the extracted edge of the image is more clear and delicate;and 2) Compared with single morphological algorithms, this algorithm greatly decreases the mean-square error value of the image and increases the peak signal-to-noise ratio by 2. 3 dB.

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    LI Xuan, ZHANG Hong. Edge Detection Algorithm of Gray Image[J]. Electronics Optics & Control, 2018, 25(5): 46

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    Paper Information

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    Received: Jun. 20, 2017

    Accepted: --

    Published Online: Jan. 20, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.05.010

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