Method for detecting edge of noisy image

Abstract

The invention discloses a method for detecting the edge of a noisy image. The method comprises the steps of firstly, inputting the noisy image; secondly, improving wavelet modulus maximum edge detection operators, and obtaining improved edge detection operators in the horizontal direction and the vertical direction; thirdly, calculating partial derivatives of the noisy image in the horizontal direction and the vertical direction; fourthly, calculating an amplitude value matrix and an angle matrix of an image gradient; fifthly, determining edge points, and obtaining edge images; sixthly, fusing the edge images and obtaining a fused image; seventhly, determining the optimal edge and obtaining the final edge image; eighthly, outputting the final edge image. According to the method, shear transformation and traditional edge detection operators are combined for image edge detection, a de-noised image is obtained finally, namely noise can be restrained effectively, and the more complete and continuous image edge can be detected.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a noise-containing image edge detection method, which is applied to image edge information detection in image analysis and image preprocessing. Background technique [0002] In the field of image preprocessing, in order to accurately detect the edge information in the image, especially the edge information in the noisy image, to obtain a high-quality clear edge image, and to provide favorable conditions for image post-processing, image edge detection is used. Methods. At present, image edge detection methods mainly use traditional edge detection methods based on gradient information and image edge detection methods based on wavelet transform to detect image edge information. [0003] The patented technology "an edge detection algorithm combining mathematical morphology and LoG operator" owned by the Automation Engineering Research and Development Center of G...

AI Technical Summary

Problems solved by technology

[0006] The edge detection method based on gradient information is sensitive to image noise, which leads to the defect that the detected edge information contains more noise; while the image edge detection method based on wavelet transform is limited by the directionality, which leads to the fact that the directional edge in the image cannot be detected. better detection problem

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