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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

Pending Publication Date: 2021-02-02
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0005] The purpose of the present invention is to provide a multi-scale Gabor wavelet PCA fusion image edge detection method, which solves the problem in the prior art that the gray image structure information obtained due to dimensionality reduction is incomplete, resulting in the lack of image edge information

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[0045] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0046] Multi-scale Gabor wavelet PCA fusion image edge detection method of the present invention, its flow process is as follows figure 1 As shown, the specific steps are as follows:

[0047] Step 1, such as figure 2 As shown, the color image to be detected is converted into the LMN color space, and three channel images of L, M, and N are obtained; specifically, the conversion is performed according to the mapping relationship of formula (9):

[0048]

[0049] Step 2, construct a multi-scale and multi-directional Gabor imaginary part filter bank, and pass the three channel images through the imaginary part filter bank respectively to obtain a filter response; specifically:

[0050] Step 2.1, construct a set of discrete multi-scale and multi-directional Gabor imaginary part filter banks, take different center frequencies, uniformly sampl...

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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.

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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Application Information

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IPC IPC(8): G06T7/13G06T7/168G06T7/136G06K9/62
CPCG06T7/13G06T7/168G06T7/136G06T2207/10024G06F18/2135
Inventor 顾梅花花玮王苗苗刘杰
Owner XI'AN POLYTECHNIC UNIVERSITY
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