Multi-scale Gabor wavelet PCA fusion image edge detection method

A fusion image and edge detection technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of incomplete grayscale image structure information and missing image edge information, so as to ensure the integrity and continuity of the contour , the effect of enriching detailed information
CN112308873APending Publication Date: 2021-02-02XI'AN POLYTECHNIC UNIVERSITY
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
XI'AN POLYTECHNIC UNIVERSITY
Publication Date
2021-02-02

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Abstract

The invention discloses a multi-scale Gabor wavelet PCA fusion image edge detection method, and the method specifically comprises the steps of: 1, converting a to-be-detected color image into an LMN color space to obtain an L channel image, an M channel image and an N channel image; 2, constructing a multi-scale and multi-direction Gabor imaginary part filter bank, and enabling the three channel images to respectively pass through the imaginary part filter bank to obtain a filtering response; 3, for the filtering response of each channel component, adopting a PCA method to fuse the filtered images of the same scale in different directions, and calculating the gradient of each channel; and 4, carrying out gradient fusion on all the components, calculating the amplitude and direction of thegradient, and carrying out non-maximum suppression and a double-threshold method to obtain the edge of the color image. The problem that in the prior art, due to the fact that gray level image structure information obtained through dimension reduction is incomplete, image edge information is lost is solved.
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Description

technical field

[0001] The invention belongs to the technical field of digital image processing, and relates to a multi-scale Gabor wavelet PCA fusion image edge detection method. Background technique

[0002] In the field of computer vision, image feature detection, as the basis of many visual tasks, is an important issue and one of the key technologies. The purpose is to extract stable and reliable features from images. As an inherent feature of the image, the edge contains most of the information of the image. Compared with the grayscale image, the color image has more color information. Therefore, edge detection algorithms based on color images have received a lot of attention from researchers.

[0003] The most common underlying feature of the image is the edge feature of the image, which can well represent the image information, carries very rich image information, and can directly reflect the outline and topological structure information of the object. Image edge de...

Claims

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