Edge extraction method based on fusion strategy

Abstract

The invention discloses an edge extraction method based on a fusion strategy, and belongs to the field of computer application, such as image processing, pattern recognition and vision computation. The edge extraction method comprises the following steps of inputting a grayscale image; integrating extraction results of three typical edge extraction algorithms to obtain voting weight reflecting and belonging to edge possibility degree; analyzing a difference value of the maximum luminance difference and the minimum luminance difference of pixel points and a neighborhood to obtain difference weight describing luminance mutation degree; counting deleted neighborhood variance distribution, and according to the characteristic that an edge point at least has the relative larger luminance dispersity on the basis that the luminance dispersity of four neighborhoods of the whole image is average, obtaining edge distribution weight of all the pixel points; fusing three weight matrixes to carry out edge decision-making; outputting an edge image. The edge extraction method based on the fusion strategy, which is disclosed by the invention, has the advantages that the accuracy of edge extraction is improved, the influence on the noise is reasonably reduced, and the preparation information is provided for subsequent processing, such as further image analysis and feature point positioning.

Description

technical field [0001] The invention relates to the technical fields of digital image processing and computer vision, in particular to an edge extraction image processing method based on a fusion strategy. Background technique [0002] The edge is the place where information such as gray level or structure in the image has different degrees of mutation, it is the end of one area and the beginning of another area. Edge is an important basis for image analysis and understanding such as image segmentation, texture feature extraction and shape feature extraction, as well as an important basis for research fields such as computer vision and pattern recognition. [0003] In recent years, many edge extraction methods have been proposed by researchers. The classic edge extraction method uses the gradient information of the image, the first-order filter of the image, the second-order filter or zero-crossing detection to extract, such as Sobel operator, Prewitt operator, Roberts oper...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for edge extraction based on a fusion strategy. The edge extraction method based on a fusion strategy needs to improve the robustness of the existing single edge extraction technology, the integrity of the extracted edge information is insufficient, and it is susceptible to noise interference. Influence, the accuracy is not ideal

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