Electronics Optics & Control, Volume. 25, Issue 5, 46(2018)
Edge Detection Algorithm of Gray Image
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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Received: Jun. 20, 2017
Accepted: --
Published Online: Jan. 20, 2021
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