An Improved Edge Detection Method based on Median Filter

Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising

“…As can be seen from the chart, the edges detected by the algorithm in this paper obtain smaller MSE, larger PSNR and SSIM values compared with other algorithms at various noise levels in the experiment, and the MSE decreases by 0.0014-0.0532, the PSNR increases by 0.5090-4.0472 dB and the SSIM increases by 0.0230-0.5833. It is worth noting that when the standard deviation of Gaussian noise is 80, compared with the original algorithm and the algorithm proposed in Reference [3], the PSNR of the algorithm in this paper increases by 3.2243 and 1.6941 dB, respectively, and the SSIM increases by 0.5029 and 0.5762, respectively.…”

“…As a contrast, the Sobel edge detection algorithm based on WNNM denoising proposed in this paper, the traditional Sobel edge detection algorithm and the improved edge detection algorithm based on median filtering proposed in Reference [3] will be applied to the Cameraman image, respectively. The experimental results and analysis are listed as follows.…”

“…The second to fourth rows show the detection results of the three algorithms after adding Gaussian noise with standard deviations of 30, 40 and 80 to the original image. It can be seen from the second and third rows that under the low and medium intensity noise levels, the traditional Sobel edge detection operator detects more noise points, while the median filter-based method proposed in [3] can eliminate most of the noise points, but it causes obvious damage to the real edges. By contrast, the algorithm proposed in this paper retains the true edge of the image to the greatest extent while eliminating the noise and achieves better detection results.…”

“…At this time, the detection result of the traditional Sobel operator has been completely submerged in a large amount of noise, and the edge pixels cannot be distinguished. Similarly, after median filtering, the result of the algorithm in Reference [3] only has some isolated pixels, and both of them are difficult to achieve the purpose of extracting the edges of the image. The detection method in this paper can still obtain clear and relatively complete edges in this environment.…”

“…Topno et al proposed an improved edge detection method based on median filtering. After edge detection, the median filter is used to protect the edge from salt and pepper noise [3]. Yoon et al proposed an edge detection method based on the Bhattacharyya distance with adjustable block space.…”