Based on soft-threshold wavelet de-noising combining with Prewitt operator edge detection algorithm

This article describes the commonly used edge detection operator ( Including the Roberts operator, Sobel operator, Prewitt operator, Laplacian operator, as well as the Canny operator)of the basic principles, and its performance is analyzed and evaluated. Since traditional edge detection operator in the image containing Gaussian white noise when there is obvious shortcomings, this paper presents a based on soft-threshold wavelet de-noising combining with the Prewitt operator edge detection algorithm. This algorithm has the characteristics of wavelet multi-resolution, overcoming the traditional neighborhood selection algorithm for noise suppression and edge positioning accuracy of the contradictions, but also with a wavelet transform the role of band-pass filter, through the soft-threshold de-noising methods in the various to remove low-amplitude noise and the undesired signals, combined with Prewitt operator airspace convolution properties that can accurately detect the image edge and effective noise suppression effect of signal detection.