Research on Pearl Detecting and Grading Based on Monocular Multi-view Machine Vision
Yi-ping Tang, Shao-jie Xia, Zhi-liang Zhu
Current Journal of Applied Science and Technology · pp. 2136–2151 · Published 28 Mar 2014
10.9734/BJAST/2014/5544Abstract
Aims: Pearl is a non-planar object and its surface has a certain degree of curvature. It is necessary to obtain the image of the entire surface of a pearl for the aim to achieve the grade based on size, shape, luster, blemish and color. This paper designed a detecting device to solve this problem and complete the pearl’s grading automatically. Methodology: In this paper, an imaging apparatus of monocular multi-view was designed by putting a symmetric bucket cavity, which was made of 4 planar mirrors in front of the camera. The surface of a pearl will be captured from different perspectives using this device. Then a series of views which reflect the quality of a pearl could be achieved by image processing. Finally feature fusion will be utilized to determine the quality of the pearl. Conclusion: Experimental results show that the image of the entire surface of a pearl could be obtained in a unified color system using the proposed device. Besides, the device accomplishes pearl online detecting and grading according to the quality indicators such as size, shape, luster, blemish and color.
References (5)
- 1 Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment [DOI]
- 2 Separation method for shape grading of pearls using computer vision
- 3 Machine vision based image grabbing and defect detection of pearl surfaces
- 4 Online automated grading of pearl surface perfection based on computer vision
- 5 Special section on machine vision and its applications
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