Image processing method and system of detecting tyre rubber geometric impurities

A technology of image processing and geometry, applied in the field of image processing

Inactive Publication Date: 2016-11-09
WUHAN UNIV OF TECH
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an image processing method and system for detecting geometric impurities in tire rubber for the defect that it is difficult to identify and distinguish geometric impurities in the prior art

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  • Image processing method and system of detecting tyre rubber geometric impurities
  • Image processing method and system of detecting tyre rubber geometric impurities
  • Image processing method and system of detecting tyre rubber geometric impurities

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[0076] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0077] An embodiment of the present invention is an image processing method for detecting geometric impurities in tire rubber, such as figure 1 shown, including:

[0078] Step 1, obtain the binary image of tire rubber;

[0079] Step 2, according to the different eigenvalues ​​of rubber pixels and carbon black pixels in the binarized image, obtain the connected domain of the carbon black pixels in the binarized image;

[0080] Step 3, calculating the area A and width d of each connected domain of carbon black pixels in the binarized image;

[0081] Step 4. Calculate the slenderness S of ...

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Abstract

The invention discloses an image processing method and system for detecting geometric impurities in tire rubber. The method includes: step 1, obtaining a binarized image of the tire rubber; step 2, according to different characteristics of rubber pixel points and carbon black pixel points value, obtain the connected domain of carbon black pixels in the binarized image; step 3, calculate the area A and width d of each connected domain; step 4, calculate each connected domain according to the area A and width d of each connected domain The slender length S of the connected domain; Step 5, compare the calculated slender length of each connected domain with a preset threshold, and the connected domain whose slender length exceeds the preset threshold is a geometry with carbon black pixels in the binarized image shape impurities. The beneficial effects of the present invention are: processing the binarized image by using the slender length of the connected domain, the geometric impurities such as straight lines, circles and curves in the binarized image can be identified and image-segmented, and the obtained binarized image is more accurate. It can reflect the distribution of carbon black in rubber.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image processing method and system for detecting geometric impurities in tire rubber. Background technique [0002] In the actual tire rubber mixing and rubber material image collection process, due to some uncontrollable factors such as man-made and system, there will be some impurities in the rubber material sample. These impurities are either embedded in the rubber or attached to the surface of the rubber. When imaged under a microscope with a light source, these impurities exhibit the same optical properties as carbon black. Since the identification of carbon black is based on the difference in grayscale between carbon black and rubber, these impurities will also be identified as carbon black, and they will appear in the same white area as carbon black in the binary image. The identification of carbon black posed certain difficulties. [0003] In the binary ima...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10004G06T2207/30108
Inventor 邓燕妮闻立号吕远兴胡兴褚四勇涂林丽赵东明刘小珠傅剑
Owner WUHAN UNIV OF TECH
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