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Image edge detection method based on fuzzy set

An image edge and detection method technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as adverse effects of processing accuracy

Inactive Publication Date: 2016-11-09
成都甄识科技有限公司
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Problems solved by technology

And this is a deblurring process, especially in the context of image processing, when the pixel scale and precision are in the same order of magnitude, this deblurring operation is bound to have an adverse effect on the processing accuracy

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  • Image edge detection method based on fuzzy set
  • Image edge detection method based on fuzzy set
  • Image edge detection method based on fuzzy set

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Embodiment Construction

[0021] The present invention will be further described now in conjunction with accompanying drawing.

[0022] An image edge detection method based on fuzzy sets, specifically comprising the following steps.

[0023] Step 1. The image matrix is ​​denoted as I, and the X row and the Y column are selected as the central pixel point I(x, y) on the image, and G(x, y) is recorded as the gray value of the pixel point I(x, y).

[0024] Step 2. Treat each pixel point I(x,y) of the image as an edge, and the universe of fuzzy set E is I.

[0025] Step 3. Centering on the pixel point I(x, y), establish a 3*3 pixel block, and calculate the gradient of the pixel point I(x, y) in four directions of 0°, 45°, 90° and 135°, such as figure 1 The gradient operator in four directions is shown, and the four directions of 0°, 45°, 90° and 135° also represent the directions of 360°, 225°, 270° and 315° respectively, and the central pixel point I(x ,y) Gradients in the four directions of 0°, 45°, 90...

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Abstract

The invention relates to the edge detection technical field, and discloses an image edge detection method based on a fuzzy set. The method comprises the steps of: remarking an image matrix as I, and selecting the Xth row and Yth column of an image as a center pixel point I (x,y), G being the grey level of the pixel point I (x, y); regarding each pixel point I (x,y) of the image as an edge, and the domain of discourse of a fuzzy set E being I; establishing 3*3 pixel blocks with the pixel point I (x,y) as a center, and calculating the gradient of the pixel point I (x,y) in four directions of 0 DEG, 45 DEG, 90 DEG and 135 DEG; selecting the gradient maximum value in the four directions as the omnibearing gradient magnitude of the pixel point I (x,y); normalizing the omnibearing gradient magnitude, the omnibearing gradient magnitude after normalization being the membership function value (mu E(u), u belongs to I) of the pixel point I (x,y); obtaining the membership function value of each pixel point, and obtaining an image edge fuzzy set E according to the fuzzy set E= sigma <n> i=1 muE(ui) / ui, ui belongs to I; obtaining an image edge detection image according to different image intensities corresponding to the membership function value of each pixel point in the fuzzy set E; and performing a least square fitting algorithm on the fuzzy set E to obtain an image edge detection image with a fitting circle center.

Description

technical field [0001] The invention relates to the technical field of edge detection, in particular to an image edge detection method based on fuzzy sets. Background technique [0002] At present, many electronic products require components represented by precision micro-gears. The components adopt a ring structure, and the outer circle is gear-shaped. If the tip of the image is inconsistent, this will lead to instability in the emission current of the component sample. The edge of the image of such parts cannot be detected by traditional means. Even if advanced optical measuring instruments are used, the selection of detection points depends on manual selection, and only a rough judgment can be made on the image. Quantitative data cannot be given for the particularly important shape of the tip. , and the measurement of all gear-shaped tips cannot be measured one by one. In addition, many other objects also require accurate edge detection, and edge detection technology is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 罗敏余翊森蒋千军王浩正
Owner 成都甄识科技有限公司
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