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Xinni Li

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Proceedings Article | 7 November 2018 Paper

System development for morphological feature extraction and weight detection of melon seeds

Cuiling Li, Qingchun Feng, Kai Jiang, Xiu Wang, Jian Song, Xinni Li

Proceedings Volume 10819, 108191S (2018) https://doi.org/10.1117/12.2501294

KEYWORDS: Feature extraction, Image processing, Cameras, Machine vision, Image acquisition, Sensors, Light sources, Process control

Read 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.

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