Diamond raw detection system based on machine vision

SHI Guangfeng; WANG Xue; WANG Shukun; GUO Fengjie; YU Dawei

doi:10.13394/j.cnki.jgszz.2019.6.0002

Volume 39 Issue 6

Dec. 2019

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SHI Guangfeng, WANG Xue, WANG Shukun, GUO Fengjie, YU Dawei. Diamond raw detection system based on machine vision[J]. Diamond & Abrasives Engineering, 2019, 39(6): 7-12. doi: 10.13394/j.cnki.jgszz.2019.6.0002

Citation:

SHI Guangfeng, WANG Xue, WANG Shukun, GUO Fengjie, YU Dawei. Diamond raw detection system based on machine vision[J]. Diamond & Abrasives Engineering, 2019, 39(6): 7-12. doi: 10.13394/j.cnki.jgszz.2019.6.0002

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Diamond raw detection system based on machine vision

doi: 10.13394/j.cnki.jgszz.2019.6.0002

College of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China

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Rev Recd Date: 2019-10-12

Available Online: 2022-04-06

Abstract

Abstract

In order to reduce the detection cost and avoid human error, a diamond rough detection system based on machine vision is developed. The information of size, shape and color of diamond is detected by image processing, and a three-dimensional model of diamond raw stone which can be displayed from a free perspective is generated. The results show that the system is easy to operate in shape and color detection, the scale accuracy of size detection is 0.5 μm and the measurement accuracy of graphic is in the micron level, which can reduce the detection cost and human error.
- diamond raw stone,
- machine vision,
- graphic,
- detection