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Development of online whole-surface apple inspection system using line-scan hyperspectral imaging technology (Conference Presentation)
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Paper Abstract

Applications of machine vision techniques are prevalent for quality inspection of foods. For safety inspection of fruits such as apples to detect biological contaminants, a method to capture and reconstruct a whole-surface of apple is needed. In this paper, we present a reconstruction method for whole-surface imaging of apples with the use of a line-scan hyperspectral imaging technique. In addition, the development of online whole-surface inspection technology for round-fruits is presented.

Paper Details

Date Published: 15 May 2018
Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 1066503 (15 May 2018); doi: 10.1117/12.2307235
Show Author Affiliations
In-Suck Baek, Univ. of Maryland, Baltimore County (United States)
Stephen Andrew Gadsden, Univ. of Maryland, Baltimore County (United States)
Moon S. Kim, Agricultural Research Service (United States)

Published in SPIE Proceedings Vol. 10665:
Sensing for Agriculture and Food Quality and Safety X
Moon S. Kim; Kuanglin Chao; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

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