Color image edge detection method based on fusion color gradient

A color image, edge detection technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as poor practicability

Inactive Publication Date: 2015-02-04
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0006] In order to overcome the shortcomings of poor practicability of the existing color image edge detection methods, the present invention provides a color image edge detection method that combines hue gradients

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  • Color image edge detection method based on fusion color gradient
  • Color image edge detection method based on fusion color gradient

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Embodiment Construction

[0056] refer to Figure 1-7 . The specific steps of the color image edge detection method fused with tone gradient of the present invention are as follows:

[0057] (1) Initialization: the size of the color image f to be processed is M×N, M and N represent the height and width of f respectively, and the pair of structural elements is defined as B={B FG ,B BG}, where B FG =[0 1 0; 1 0 1; 0 1 0], B BG =[1 0 1; 0 1 0; 1 0 1], the threshold of the Canny operator is Th.

[0058] (2) Calculate the hue component and the first principal component of PCA: first use the hue formula to calculate the hue component f H ; Then use PCA to obtain the first principal component f of the color image f.

[0059] The hue component is calculated as:

[0060] f H = ar cos { ( R ...

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Abstract

The invention discloses a color image edge detection method based on fusion color gradient to solve the technical problem that the existing color image edge detection method is low in practicability. According to the technical scheme, the method comprises the following steps: first, a color image is transformed from a RGB color space to an HSV color space, the gradient of a hue component is calculated with use of circular hue distance, and the gradient of the hue component is calculated with use of symbol type color distance; then, a first principal component of the RGB color image is acquired by a PCA (principal component analysis) method, wherein the principal component contains richer edge information than a brightness image acquired by a traditional method; and the gradient of the first principal component is calculated with a classic gradient operator, the hue component and the gradient image of the first principal component are fused, and the final color image edge is obtained by a morphological thinning algorithm. By adopting the color image edge detection method, the defect that the gradient operator can be hardly applied to the hue component in the background art is overcome, and complete color image edge is obtained. The method is highly practical.

Description

technical field [0001] The present invention relates to a color image edge detection method, in particular to a color image edge detection method which combines tone gradients. Background technique [0002] Edge detection is a key step in image processing and computer vision, and there are many more classic methods in the research on image edge detection. In recent years, due to the wider and wider application fields of color images, the related algorithms involved in them have become a new research hotspot. Regarding the edge detection of color images, although there have been many research results, due to the multi-channel characteristics of color images, it is difficult to directly extend grayscale edge detection operators (such as Canny, Sobel, Prewwit and Robert) to Color edge detection in progress. [0003] Studies have shown that converting a color image into a grayscale image, and then using traditional edge detection operators to extract edges, the result is that ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/10024G06T2207/20036G06T7/13
Inventor 雷涛樊养余王毅
Owner NORTHWESTERN POLYTECHNICAL UNIV
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