Industrial flexible object detection method based on machine vision

A technology of flexible objects and detection methods, applied in instruments, computer parts, image analysis, etc., can solve problems such as relative blanks, and achieve the effect of high real-time performance and low error rate

Pending Publication Date: 2022-05-13
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, the width index detection of flexible targets with irregular outlines has always been relatively blank, and there are relatively few application patents in this area.

Method used

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  • Industrial flexible object detection method based on machine vision
  • Industrial flexible object detection method based on machine vision
  • Industrial flexible object detection method based on machine vision

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Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] The existing method for detecting industrial flexible targets is usually the projection method. This method is usually to select a product pattern with a regular appearance and contour produced by cutting on the assembly line and paste it on the sample holder, and use the magnifying glass scale method / digital The projector measures the target, selects the width measurement value of multiple positions for each target, and uses the average value of the width measurement of all sample product measurement points as the final width measurement value of the target. This method takes a long time and has low real-time performance. In addition, during the selection of the target product and the clamping process, the external force will have a seconda...

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Abstract

The invention provides an industrial flexible object detection method based on machine vision, and the method mainly comprises the steps: 1, collecting an original color image of a target, and taking the image as an original data set; step 2, performing data enhancement processing on the initial data set to obtain a black and white binary picture which is used for distinguishing a target area from a white background; step 3, drawing connected regions of the target, counting the region arc length of each connected region, and reserving the part of which the area is greater than a fixed value S or the arc length is greater than a fixed value L of the connected region; 4, drawing an edge contour curve according to the connected region, and extracting a center line of the connected region and parallel straight lines on the target edge contour; 5, drawing a line segment capable of representing the target width by using the center line and the parallel line; and step 6, mapping the line segment length representing the target width from the pixel distance to the actual distance.

Description

technical field [0001] The invention relates to an industrial flexible object detection method based on machine vision, belonging to the technical field of industrial detection. Background technique [0002] The rapid development of computer technology has injected greater vitality into industrial production and life, especially the application of computer vision technology has greatly accelerated the production efficiency and production capacity of some industrial fields. For a long time, computer vision technology has been a very attractive research hotspot. In principle, a machine vision system is mainly composed of three parts: image acquisition, image processing and analysis, output or display. Including digital image processing technology, mechanical engineering technology, control technology, light source lighting technology, optical imaging technology, sensor technology, analog and digital video technology, computer software and hardware technology, human-machine int...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/187G06T7/62G06T7/73G06T7/90G06V20/10G06T5/30G06T5/00
CPCG06T7/0004G06T7/187G06T5/002G06T7/73G06T7/62G06T7/90G06T5/30G06T2207/10024
Inventor 王堃陈涛陈思光张载龙
Owner NANJING UNIV OF POSTS & TELECOMM
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