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Proceedings Paper

Application of machine vision in inspecting stem and shape of fruits
Author(s): Yibin Ying; Hansong Jing; Yang Tao; Juanqin Jin; Juan Gutierrez Ibarra; Zhikuan Chen
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Paper Abstract

The shape and the condition of stem are important features in classification of Huanghua pears. As the commonly used thinning and erosion-dilation algorithm in judging the presence of the stem is too slow, a new fast algorithm was put forward. Compared with other part of the pear, the stem is obviously thin and long, with the help of various sized templates, the judgment of whether the stem is present was easily made, meanwhile the stem head and the intersection point of stem bottom and pear were labeled. Furthermore, after the slopes of the tangential line of stem head and tangential line of stem bottom were found, the included angle of these two lines was calculated. It was found that the included angle of the broken stem was obviously different from that of the good stem. After the analysis of 53 pictures of pears, the accuracy to judge whether the stem is present is 100% and whether the stem is good reaches 93%. Also, the algorithm is of robustness and can be made invariant to translation and rotation Meanwhile, the method to describe the shape of irregular fruits was studied. Fourier transformation and inverse Fourier transformation pair were adopted to describe the shape of Huanghua pears, and the algorithm for shape identification, which was based on artificial neural network, was developed. The first sixteen harmonic components of the Fourier descriptor were enough to represent the primary shape of pear, and the identification accuracy could reach 90% by applying the Fourier descriptor in combination with artificial neural network.

Paper Details

Date Published: 29 December 2000
PDF: 9 pages
Proc. SPIE 4203, Biological Quality and Precision Agriculture II, (29 December 2000); doi: 10.1117/12.411746
Show Author Affiliations
Yibin Ying, Zhejiang Univ. (China)
Hansong Jing, Univ. of Maryland/College Park (United States)
Yang Tao, Univ. of Maryland/College Park (United States)
Juanqin Jin, Zhejiang Univ. (China)
Juan Gutierrez Ibarra, Univ. of Arkansas (United States)
Zhikuan Chen, Univ. of Arkansas (United States)

Published in SPIE Proceedings Vol. 4203:
Biological Quality and Precision Agriculture II
James A. DeShazer; George E. Meyer, Editor(s)

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