Dynamic threshold-based Susan operator color image edge detection method

A color image and dynamic threshold technology, applied in image analysis, image data processing, calculation, etc., can solve the problems of not being able to adapt to human visual effects, global threshold over-detection, ignoring color component correlation, etc.

Inactive Publication Date: 2014-12-31
JIANGSU UNIV
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Problems solved by technology

The disadvantage of this method is that it ignores the correlation between color components and cannot adapt well to the visual effect of the human eye.
In addition, the static color difference formula (such as the European formula) can only calculate the color difference distance between pixels in the color model, and cannot analyze the difference between different pixels from a visual perspective, and the global threshold often brings "over-detection". "And other issues

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  • Dynamic threshold-based Susan operator color image edge detection method
  • Dynamic threshold-based Susan operator color image edge detection method
  • Dynamic threshold-based Susan operator color image edge detection method

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Embodiment Construction

[0050] The purpose of the present invention is to propose an image edge detection method on the basis of analyzing and summarizing the definition of color difference in different color spaces and calculating the threshold to address the deficiencies of the prior art. First, convert the color image color space from the RGB space to the uniform space S-CIELAB that conforms to the visual characteristics of the human eye, and calculate the color difference; then use the contrast sensitivity function CSF to calculate the adaptive dynamic threshold of each pixel, and with the help of Susan The operator filters the entire image and then performs edge detection.

[0051] Such as figure 1 Shown, be the flow schematic diagram of the Susan operator color image edge detection method based on dynamic threshold of the present invention; The concrete steps of this method are:

[0052] S101, change the RGB color image P into the device-independent CIE-XYZ color space by the formula (1), and...

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Abstract

The invention relates to a dynamic threshold-based Susan operator color image edge detection method. The method comprises the steps of building an S-CIELAB color model which is more adaptable to a human eye vision effect according to the influence of spatial frequency of contrast sensitivity and chromatic aberration to the human eye vision effect, and calculating a color difference formula under the model; building a dynamic threshold calculation formula by utilizing the contrast sensitivity function and combining the influence of local background brightness and the different spatial frequencies of brightness and color to the human eye vision effect. The designed algorithm is in accordance with the human eye vision characteristics, is capable of reducing noise and is simple and convenient in calculation.

Description

technical field [0001] The invention relates to the detection of image edges in the automation field, in particular to a color image edge detection method, which is suitable for image texture feature analysis, image segmentation, fusion and graphic feature extraction in the field of computer vision. Background technique [0002] Edge is a visual low-level feature, which is widely used in various fields of image processing and computer vision, such as matching segmentation, tracking and recognition. In the low-level feature detection of traditional color images (such as RGB, HIS and other three-color images), a common technique is to convert the color image into a brightness image, and then apply a differential-based method such as Canny operator or Harris for feature detection. Although this type of method has achieved good results, for color images, the conversion to brightness images means the loss of information, and at the same time, it has not fully considered, such as ...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 宋雪桦王维万根顺于宗洁化瑞刘委卜晓晓
Owner JIANGSU UNIV
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