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Image processing for AOI (automated optical inspection)-based bullet appearance defect detection system

A defect detection and image processing technology, applied in the field of image processing, can solve the problems of not reflecting information well, difficult for operators, and obtaining information.

Inactive Publication Date: 2014-10-15
NINGBO MOSHI OPTOELECTRONICS TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0008] Through the optical imaging module and image acquisition module of the AOI system, the initial picture of the bullet’s appearance can be obtained, but due to the existence of various interferences, the initial picture cannot reflect the required information well, especially relying on machine analysis, it is difficult to It is difficult for the operator to obtain the desired information, therefore, the initial image needs to be processed
[0009] With the development of science and technology, many various image processing methods have been developed in the existing technology, but the existing data show that at present, there is no one that can fully apply the AOI system and is suitable for the detection of apparent defects of bullets. Image processing algorithm with fast operation speed and good processing results

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  • Image processing for AOI (automated optical inspection)-based bullet appearance defect detection system
  • Image processing for AOI (automated optical inspection)-based bullet appearance defect detection system

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Embodiment

[0034] The image processing algorithm of the AOI-based bullet apparent defect detection system includes the following steps:

[0035] (1) Obtain the original image of the bullet's appearance through the optical imaging module and image acquisition module of the AOI system; this process is relatively mature in AOI technology, and will not be repeated in this embodiment;

[0036] (2) The median filtering method is used to process the original image to remove noise and smooth the original image signal; specifically, the median filtering method is as follows:

[0037] (2a) Determine a neighborhood centered on a certain pixel;

[0038] (2b) Compare the gray value of each pixel in the neighborhood, and take the middle value as the new gray value of the selected pixel;

[0039] (2c) Set the neighborhood as a window, and move the window in sequence according to the filtering method to process the entire image.

[0040] Wherein, the shape of the neighborhood in the step (2a) is a square, and furt...

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Abstract

The invention discloses an image processing algorithm for an AOI (automated optical inspection)-based bullet appearance defect detection system. The image processing algorithm comprises the following steps: (1) obtaining an original image of a bullet appearance by an AOI system; (2) processing the original image by a median filtering method, removing noise, and smoothening an original image signal; (3) stretching the image by linear grey level transformation; and (4) segmenting the image by Otsu to obtain a binarization image. The original image obtained by the AOI system is subjected to processing, such as smooth denoising, image enhancement, image segmentation and the like by an algorithm with a high operation speed, so that the original image is converted into the binarization image, bullet appearance defects can be more obviously highlighted and can be more conveniently extracted and identified in a subsequent process, and image processing efficiency is greatly increased.

Description

Technical field [0001] The invention relates to the image processing technology of an AOI system, in particular to an image processing algorithm of an AOI-based bullet apparent defect detection system. Background technique [0002] AOI (Automatic Optic Inspection), also known as automatic optical inspection, is based on sports machine vision as a basic technology, as a way to improve the shortcomings of traditional manual optical instruments for inspection, and to improve the accuracy and speed of optical image inspection systems. technology. [0003] Digital image refers to a two-dimensional matrix of small areas called pixels. After dividing the physical image into rows and columns, each small area becomes a pixel. Each pixel includes two attributes: image position and gray value. [0004] For monochrome images, that is, grayscale images, the grayscale value of each pixel is represented by a value ranging from 0 to 255. Among them, 0 represents black and 255 represents white. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/54G01N21/88
Inventor 杨雷尹志强赵泽东陈仕隆吕坤
Owner NINGBO MOSHI OPTOELECTRONICS TECH
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