Paper Abstract and Keywords |
Presentation |
2022-03-10 16:40
Detection of Physiological Disorders in European Pear Using HSV Color Features
-- Distortion Correction of Detection Area Using Ellipse Detection and Geometric Transformation -- Noritaka Kubota, Tatsuya Yamazaki (Niigata Univ.) IMQ2021-34 IE2021-96 MVE2021-63 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
"Le Lectier" (European pear) needs to be graded at the time of shipment. However, there is a need to automate the process of grading, because the workload of grading is heavy and subjective. In order to develop a system for evaluating and grading the appearance quality of pears, a method for detecting black spots, which are physiological disorders, is investigated. In this study, we have proposed a method for detecting physiological disorders from photographed images of the bottom of pears using light image processing based on HSV color features. However, due to the structure of the photographic equipment, the bottom of the pear is photographed from below at an angle, resulting in perspective distortion in the photographed image. In this paper, we propose a method to reduce the displacement of the area of the photographed image using geometric transformation. Based on the distortion correction, physiological disorders are more accurately detected and classified to judge the grade correctly. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Distortion Correction / Trapezoid Correction / Geometric Transformation / Pear / Physiological Disorders / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 422, IE2021-96, pp. 127-132, March 2022. |
Paper # |
IE2021-96 |
Date of Issue |
2022-03-02 (IMQ, IE, MVE) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IMQ2021-34 IE2021-96 MVE2021-63 |
Conference Information |
Committee |
CQ IMQ MVE IE |
Conference Date |
2022-03-09 - 2022-03-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online (Zoom) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc |
Paper Information |
Registration To |
IE |
Conference Code |
2022-03-CQ-IMQ-MVE-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Detection of Physiological Disorders in European Pear Using HSV Color Features |
Sub Title (in English) |
Distortion Correction of Detection Area Using Ellipse Detection and Geometric Transformation |
Keyword(1) |
Distortion Correction |
Keyword(2) |
Trapezoid Correction |
Keyword(3) |
Geometric Transformation |
Keyword(4) |
Pear |
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Physiological Disorders |
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1st Author's Name |
Noritaka Kubota |
1st Author's Affiliation |
Niigata University (Niigata Univ.) |
2nd Author's Name |
Tatsuya Yamazaki |
2nd Author's Affiliation |
Niigata University (Niigata Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-03-10 16:40:00 |
Presentation Time |
25 minutes |
Registration for |
IE |
Paper # |
IMQ2021-34, IE2021-96, MVE2021-63 |
Volume (vol) |
vol.121 |
Number (no) |
no.420(IMQ), no.422(IE), no.423(MVE) |
Page |
pp.127-132 |
#Pages |
6 |
Date of Issue |
2022-03-02 (IMQ, IE, MVE) |
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