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System development for morphological feature extraction and weight detection of melon seeds
Author(s): Cuiling Li; Qingchun Feng; Kai Jiang; Xiu Wang; Jian Song; Xinni Li
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Paper Abstract

Seed morphological characteristics and weight are important evaluation indicators of seed quality, and they are closely related to seed germination rate and crop yield. In order to detect the quality of melon seeds and improve the efficiency of melon production, a melon seed morphological feature extraction and weight detection system was developed. The light source unit with a ring structure consisted of high power LED lamps, providing stable light for the system; The image acquisition unit collected color images of melon seeds; The weighing unit weighed the weight of melon seeds in real time; The control processing unit processed seed images real-time, triggered the image acquisition unit to collect image and control the collection speed of seeds images, controlled weighing unit to work, and saved seeds image, weight and processing results. The system can extract the number, area, perimeter, long diameter, short diameter and weight of melon seeds. After testing of the system, the detection accuracy of melon seeds number was 100%, detection relative errors of seeds weight, seed perimeter, length and width were less than 5%, and the detection relative error of melon seed area was less than 10%. The results show that the developed melon seed morphological feature extraction and weight detection system can meet the actual needs of melon seed production.

Paper Details

Date Published: 7 November 2018
PDF: 7 pages
Proc. SPIE 10819, Optical Metrology and Inspection for Industrial Applications V, 108191S (7 November 2018); doi: 10.1117/12.2501294
Show Author Affiliations
Cuiling Li, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Qingchun Feng, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Kai Jiang, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Xiu Wang, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Jian Song, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)
Xinni Li, Beijing Research Ctr. of Intelligent Equipment for Agriculture (China)
National Research Ctr. of Intelligent Equipment for Agriculture (China)


Published in SPIE Proceedings Vol. 10819:
Optical Metrology and Inspection for Industrial Applications V
Sen Han; Toru Yoshizawa; Song Zhang, Editor(s)

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