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Paper Abstract and Keywords
Presentation 2014-09-01 15:20
Automatic Grading of the Fruit by Color Image Analysis using Auto-associative Neural Networks
Ayaka Okada, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura (Mie Univ.) PRMU2014-44 IBISML2014-25
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose an automatic grading algorithm of fruits using the property that color of the fruits is composed of the limited pigments and these pixels are distributed along a curved surface or plane in color space. Grading is an important step in ensuring food safety. However, manual grading is carried out in many cases. Therefore development of automatic grading systems is required for cost reduction. In this study, we develop an automatic grading system of the fruits using Auto-associative neural networks. We build the system that classifies to two classes of "good" and "bad" for ume plum. We train Auto-associative neural network so that it approximates curved surface distribution of pixels in the "good" fruit image. The system calculates the squared distance between the curved surface with each pixels of the fruit image. It performs thresholding process the classification criteria value obtained from the square distance, and classify grading the quality of the fruit. Results of the evaluation experiment shows that success classification rate is 81.6% obtained at a maximum.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic grading / Fruit / Neural networks / Color image / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 197, PRMU2014-44, pp. 51-56, Sept. 2014.
Paper # PRMU2014-44 
Date of Issue 2014-08-25 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
Download PDF PRMU2014-44 IBISML2014-25

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2014-09-01 - 2014-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2014-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Grading of the Fruit by Color Image Analysis using Auto-associative Neural Networks 
Sub Title (in English)  
Keyword(1) Automatic grading  
Keyword(2) Fruit  
Keyword(3) Neural networks  
Keyword(4) Color image  
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1st Author's Name Ayaka Okada  
1st Author's Affiliation Mie University (Mie Univ.)
2nd Author's Name Wataru Ohyama  
2nd Author's Affiliation Mie University (Mie Univ.)
3rd Author's Name Tetsushi Wakabayashi  
3rd Author's Affiliation Mie University (Mie Univ.)
4th Author's Name Fumitaka Kimura  
4th Author's Affiliation Mie University (Mie Univ.)
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Speaker Author-1 
Date Time 2014-09-01 15:20:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2014-44, IBISML2014-25 
Volume (vol) vol.114 
Number (no) no.197(PRMU), no.198(IBISML) 
Page pp.51-56 
#Pages 6 
Date of Issue 2014-08-25 (PRMU, IBISML) 

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