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http://dx.doi.org/10.5392/JKCA.2021.21.02.130

3D Image Processing for Recognition and Size Estimation of the Fruit of Plum(Japanese Apricot)  

Jang, Eun-Chae (순천대학교 산업기계공학과)
Park, Seong-Jin (순천대학교 산업기계공학과)
Park, Woo-Jun (순천대학교 산업기계공학과)
Bae, Yeonghwan (순천대학교 산업기계공학과)
Kim, Hyuck-Joo (순천대학교 산업기계공학과)
Publication Information
The Journal of the Korea Contents Association / v.21, no.2, 2021 , pp. 130-139 More about this Journal
Abstract
In this study, size of the fruit of Japanese apricot (plum) was estimated through a plum recognition and size estimation program using 3D images in order to control the Eurytoma maslovskii that causes the most damage to plum in a timely manner. In 2018, night shooting was carried out using a Kinect 2.0 Camera. For night shooting in 2019, a RealSense Depth Camera D415 was used. Based on the acquired images, a plum recognition and estimation program consisting of four stages of image preprocessing, sizeable plum extraction, RGB and depth image matching and plum size estimation was implemented using MATLAB R2018a. The results obtained by running the program on 10 images produced an average plum recognition error rate of 61.9%, an average plum recognition error rate of 0.5% and an average size measurement error rate of 3.6%. The continued development of these plum recognition and size estimation programs is expected to enable accurate fruit size monitoring in the future and the development of timely control systems for Eurytoma maslovskii.
Keywords
Eurytoma Maslovskii; Japanese Apricot; Kinect 2.0 Camera; RealSense Depth Camera D415; 3D Image;
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Times Cited By KSCI : 1  (Citation Analysis)
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