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| Research on surface quality inspection and sorting system of cathode copper based on machine vision |
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Received:December 15, 2017
Revised:November 09, 2018
Accepted:December 25, 2017
Published Online:January 11, 2019
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| DOI： |
| KeyWord:Cathode copper; Machine vision; Median filter; Edge detection; Threshold |
| Author | Institution |
| yuanhongchao |
Kunming University of Science and Technology |
| xu Ping |
Kunming University of Science and Technology |
| wang Ping |
Kunming University of Science and Technology |
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| Abstract: |
| In order to solve the problems of current artificial screening,realize the automatic detection and screening of cathode copper.In this paper,the application that image processing technology is used in the detection of surface quality of cathode copper. The research methods of this paper are as follows: First of all, according to the actual production conditions, the parameters of the hardware devices such as light source, camera, lens, image acquisition card and so on are determined; Then, the machine vision technology is studied. Based on the Halcon platform, the recognition algorithm based on edge detection and threshold segmentation is used to analyze, comprehend and extracted the required information.Finally, the related experiments are completed, and the problems are found, which provides the basis for further optimization.In this paper, two kinds of image recognition algorithms based on edge detection and threshold segmentation are studied mainly.Through experiments, the advantages and disadvantages of the two algorithms are compared respectively from three aspects: error detection rate,missing rate and processing time. The average of error detection rate of A (image recognition algorithm based on edge detection) algorithm was 3.3% for 100 cathodes of copper cathode, and 3.7% for B (image recognition algorithm based on threshold segmentation ). The average of solution A the missing rate was 11.5%,the average missing rate was 12.4% for Plan B, the processing time was 0.40 s for Plan A, and 0.75 s for Plan B.Based on the above analysis, the image recognition algorithm based on edge detection is chosen to complete the actual production needs.Finally, a set of system that can detcte the surface quality of cathode copper was established , the design of structure and installation of location about this system was set up. In this system, the problems of artificial screening has been solved , full automatic production of cathode copper has been achieved. |
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