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Rubber production problem rapid positioning method based on rubber blooming defect

A positioning method and rubber technology, applied in image analysis, image enhancement, instruments, etc., to achieve precise positioning and improve inspection efficiency

Pending Publication Date: 2022-07-05
南通华烨塑料工业有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a method for quickly locating rubber production problems based on rubber frosting defects to solve existing problems, including: collecting rubber images and performing grayscale processing, drawing grayscale histograms; calculating the initial defect probability of pixels ;Calculate the gray mean difference degree and gradient direction mode difference degree between each region and its adjacent region; calculate the contrast ratio of each region; calculate the correction degree of the pixel point to correct the initial defect probability, and obtain the final defect probability; judge the gray level Whether there are blooming defects in the image; calculate the distribution degree of blooming defects in the binary image of blooming defects, and locate the production link that produces blooming defects

Method used

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  • Rubber production problem rapid positioning method based on rubber blooming defect
  • Rubber production problem rapid positioning method based on rubber blooming defect
  • Rubber production problem rapid positioning method based on rubber blooming defect

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Embodiment 1

[0056] like figure 1 As shown, a schematic flowchart of a method for quickly locating rubber production problems based on rubber bloom defects according to an embodiment of the present invention is provided, including:

[0057] 101. Collect a rubber image and perform grayscale processing to obtain a rubber grayscale image, and draw a grayscale histogram according to the grayscale image.

[0058] The specific scenario for this embodiment is: in the rubber production process, due to production process problems, a frost spray defect occurs on the rubber surface. It is necessary to detect and analyze the blooming defects, and then locate the production link that produces the blooming defects.

[0059] In this embodiment, the frost spray defect needs to be detected according to the characteristics of the rubber image, so the rubber image needs to be collected first, and the information of the connected domain of the rubber in the image needs to be identified. Position the camera ...

Embodiment 2

[0082] like figure 2 As shown, a schematic flowchart of a method for quickly locating rubber production problems based on rubber bloom defects according to another embodiment of the present invention is provided, including:

[0083] 201. Collect a rubber image and perform grayscale processing to obtain a rubber grayscale image, and draw a grayscale histogram according to the grayscale image.

[0084] Position the camera right above the rubber and take an image of the rubber with the background and the rubber in it.

[0085] The present invention adopts the way of DNN semantic segmentation to identify the target in the segmented image.

[0086] The relevant content of the DNN network is as follows:

[0087] The dataset used is the rubber image dataset collected from the top down.

[0088] The pixels that need to be segmented are divided into two categories, that is, the corresponding label labeling process of the training set is: single-channel semantic label, the label of ...

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Abstract

The invention discloses a rubber production problem rapid positioning method based on a rubber blooming defect, relates to the field of artificial intelligence, and is mainly used for positioning the rubber blooming defect problem. Comprising the steps that a rubber image is collected and subjected to graying processing, and a gray histogram is drawn; calculating the initial defect probability of the pixel points; calculating the gray mean value difference degree and the gradient direction mode difference degree of each region and the adjacent region; calculating the contrast of each region; the correction degree of the pixel points is calculated to correct the initial defect probability, and the final defect probability is obtained; judging whether the gray level image has a blooming defect or not; and calculating the distribution degree of the blooming defects in the blooming defect binary image, and positioning the production links generating the blooming defects. According to the technical means provided by the invention, the rubber defect detection efficiency is improved by performing feature analysis on the rubber image, and the detection accuracy is effectively improved by judging the blooming defect probability of the pixel points and ignoring the interference of illumination factors.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method for quickly locating rubber production problems based on rubber bloom defects. Background technique [0002] In the production process of rubber products, due to production process problems, the liquid or solid compounding agent inside the rubber compound or vulcanizate is often precipitated on the surface of the rubber product due to migration to form a cloudy or white powder substance, that is, a bloom defect. By analyzing the distribution characteristics of the defect, the specific production link that produces the defect can be located. [0003] For the detection and feature analysis of the defect, manual inspection or image processing is usually used at present. The efficiency of manual inspection is low, and the ordinary image processing method will be disturbed by light, so it is impossible to judge the area where the defect exists, and thus cannot judge the...

Claims

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Application Information

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IPC IPC(8): G06T7/73G06T7/90G06T7/11G06T7/00G06T5/00G06V10/26
CPCG06T7/73G06T7/11G06T7/90G06T7/0004G06T5/70
Inventor 邓存芳王小红
Owner 南通华烨塑料工业有限公司
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