Prewitt edge detection based on BM3D image denoising

Prewitt operator has many problems when it is used for image edge detection. Its anti-noise performance is poor and the detection effect is not good. If this method is used for edge detection, the figure will be detected a lot of false edges during the detection. Against the mentioned problems, this paper presents an optimization scheme for image edge detection. The method combines the de-noising of BM3D and Prewitt operator to improve the anti-noise of the algorithm and reduce the misjudgment of the edge of the algorithm. Experimental result shows, the algorithm has a good detection effect on noisy images, and the advantage of the algorithm increases significantly with the noise.