IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2009-01-20 17:35
Speeded Up Feature Extraction for CT Image Based on Integral Image Technique
Shao-Hu Peng, Hyun-Soo Kim, Deok-Hwan Kim (Inha Univ.) MI2008-130
Abstract (in Japanese) (See Japanese page) 
(in English) As a classic texture feature for image classification, the SGLDM is widely employed in medical image analysis. However, the complicated computation to extract texture features using SGLDM is an inherent problem of its application. Reducing the gray level of the image can partially solve this problem whereas significant texture information is lost. In this paper, we propose to apply the integral image technique so as to speed up the texture feature extraction. Experimental results show that the proposed method can extract identical features as the original algorithm whereas the extraction time of the proposed method is only 0.0822% of that of the original algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) texture feature / SGLDM / integral image / medical image / CT Image / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-130, pp. 319-324, Jan. 2009.
Paper # MI2008-130 
Date of Issue 2009-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685    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)
Download PDF MI2008-130

Conference Information
Committee MI  
Conference Date 2009-01-19 - 2009-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taiwan University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2009-01-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speeded Up Feature Extraction for CT Image Based on Integral Image Technique 
Sub Title (in English)  
Keyword(1) texture feature  
Keyword(2) SGLDM  
Keyword(3) integral image  
Keyword(4) medical image  
Keyword(5) CT Image  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shao-Hu Peng  
1st Author's Affiliation Inha University (Inha Univ.)
2nd Author's Name Hyun-Soo Kim  
2nd Author's Affiliation Inha University (Inha Univ.)
3rd Author's Name Deok-Hwan Kim  
3rd Author's Affiliation Inha University (Inha Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-3 
Date Time 2009-01-20 17:35:00 
Presentation Time 10 minutes 
Registration for MI 
Paper # MI2008-130 
Volume (vol) vol.108 
Number (no) no.385 
Page pp.319-324 
#Pages
Date of Issue 2009-01-12 (MI) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan