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Color image edge detection method

A color image and edge detection technology, applied in the field of computer vision, can solve the problems of complex calculation and poor flexibility, and achieve the effect of simple calculation, flexible and effective edge detection

Active Publication Date: 2012-07-11
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

However, the main defect of this method is that in order to extract the edge information of the color image, the brightness and color information must be extracted separately, and then the edge image is obtained by training weighted combination, which is complex in calculation and poor in flexibility.

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Embodiment Construction

[0018] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0019] The human visual system has the ability to simultaneously process color and brightness information by using the principle of color antagonism. The receptive field of the visual neuron, as the basic unit of visual system color information processing, has the antagonistic characteristics of red, green, blue and yellow colors when processing color information, based on which the method of the present invention is proposed.

[0020] The following is a specific description through an embodiment.

[0021] Download 101087 images and their corresponding standard contour detection results from the currently internationally recognized image library website for verifying the effect of contour extraction algorithms. The image size is 481×321, of which 101087 images are 24-bit true color images, and the standard contour detection results are It is ...

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Abstract

The invention discloses a color image edge detection method which comprises the following specific steps: extracting each color channel image, generating color antagonism images, calculating an edge information distribution image, and refining the color image edge. According to the method, a color image is discomposed into a red channel image, a green channel image, a blue channel image and a yellow channel image, red-green antagonism images and blue-yellow antagonism images are calculated respectively, edge information distribution images are obtained on the antagonism images through calculating, and the strength of the color edge and the brightness edge are adjusted conveniently through two groups of antagonism weighting factors introduced in the process of adjusting, calculating and generating the color antagonism images, thus the color image edge can be detected flexibly and effectively. The color image edge detection method has the advantages that the brightness or color edge information of the nature color image can be effectively detected through simple parameter selection, and in addition, the brightness and color edge information of the nature color image can be selectively extracted.

Description

technical field [0001] The invention belongs to the technical field of computer vision, in particular to edge detection of color images. Background technique [0002] Color images provide richer information than grayscale images, so color image processing is receiving more and more attention. In natural images, both color and brightness edge information play an important role in scene understanding. In order to effectively extract edge information from complex natural images, there are currently two types of color image edge detection methods: one method is in each channel of the color image Using the grayscale edge detection method, this method cannot effectively detect the color edge; other methods first convert the color image to various color spaces, and calculate the color and brightness edges separately, and then combine the color information and brightness information to extract the image. edge. The more typical method is the method proposed by Martin et al. in 2004...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 李永杰杨开富张浩李朝义
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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