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Glass slide defect detection method based on machine vision

A defect detection and machine vision technology, used in glass production, sorting and other directions, can solve the problems of low detection accuracy of glass slides, low quality of initial products, slow detection speed, etc., to improve the detection rate of defective products , the effect of reducing the quantity and saving the cost

Active Publication Date: 2021-08-13
苏州中科行智智能科技有限公司 +1
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Problems solved by technology

[0005] In order to solve the problems of low defect detection accuracy, slow detection speed and low quality of initial product detection for glass slides, the present invention provides a method for detecting glass slide defects based on machine vision

Method used

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  • Glass slide defect detection method based on machine vision
  • Glass slide defect detection method based on machine vision
  • Glass slide defect detection method based on machine vision

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Embodiment 1

[0037] according to figure 1 The schematic diagram of the setup structure of the detection flow channel 104, the line camera 100, the first light generating device 102, the second light generating device 103 and the third light generating device 105, the line scan camera 100, the first light generating device 102, the second light generating device 105 The second light generating device 103 is placed above the slide glass 201, the third light generating device 105 is installed below the slide glass 201, and the first light generating device 102, the second light generating device 103 and the third light generating device 105 emit The light source is a line light source that is compatible with a large field of view and can guarantee efficiency. Specifically, the first light generating device 102 emits the first line light source, the second light generating device 103 emits the second line light source 203, and the third light generating device 104 emits the third line light sou...

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Abstract

The invention discloses a glass slide defect detection method based on machine vision, and relates to the field of visual inspection. The method comprises the steps that detection runners are arranged, and a glass slide is placed in each runner; after the glass slide enters a visual detection area, line light sources arranged on the upper side and the lower side of the glass slide are exposed, respectively, and a camera above the glass slide is used for collecting images of the exposed glass slide; the images which are collected by the camera and exposed by a first light generation device are used for image segmentation; any image in the runner is selected, the coordinate of each glass slide in the image is obtained, and the glass slides in other runners are intercepted; different types of defects of the segmented image are determined; and an area to be detected is positioned for image processing. According to the invention, through the matching of the linear array camera and the linear light sources, a plurality of pictures of the glass slides at the same time under different exposure times of different light sources are captured; and according to the characteristics of each defect on different pictures, the pictures are selectively selected to be processed, the defects are analyzed, and the defective product detection rate is increased.

Description

technical field [0001] The invention relates to the technical field of machine vision detection, in particular to a machine vision-based glass slide defect detection method. Background technique [0002] Glass slides are medical consumables widely used in pathological testing, with many types, large usage, and cumbersome production processes. In the actual production process, due to different processing techniques, various defects often occur, such as mottling, foreign matter, light leakage, scratches, edge chipping, chipping corners, water spots, air bubbles, etc. These defects will not only affect the appearance quality of the glass slide, but also interfere with the observation of the field of view during the pathological detection process and affect the pathological detection results. Therefore, it is very important to remove defective slides before boxing, analyze, summarize and summarize the defects, so as to adjust the front-end process parameters in time, reduce the...

Claims

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Application Information

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IPC IPC(8): B07C5/342B07C5/36B07C5/02
CPCB07C5/3422B07C5/36B07C5/02Y02P40/57
Inventor 孙浩楠周洲彭思龙汪雪林顾庆毅郭晓锋
Owner 苏州中科行智智能科技有限公司
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