IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
... (for ESS/CS/ES/ISS)
Tech. Rep. Archives
... (for ES/CS)
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2018-11-06 10:40
Improvement of Laparoscopic Color Image Diagnosis for Automatic Detection of Coded Defect Region and Application of Effective Classifier Parameter
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In addition to judgment by human eyes up to the present, it is advanced for R&D of diagnostic imaging systems by using artificial intelligence positively. Particularly, from informatics, medical engineering field, it is needed for the automatic diagnosis based on image processing to achieve laparoscopic surgery support. Compared to images in the engineering field, it is difficult in the medical images for quantitative judgment and assessment of the coded defect and degradation. Therefore, we also need to consider color information including human visual characteristics and the application of classifier parameter for image information. In this study, first we judged using PSNR whether we can detect the coded defect or not after processing of H.265/HEVC for the certain region in frame images cut from laparoscopic video acquired using endoscopy. Next, we analyzed color information using S-CIELAB color space. Finally, we applied classifier parameter effectively, and discussed for medical image diagnosis.
Keyword (in Japanese) (See Japanese page) 
(in English) Peak Signal to Noise Ratio / S-CIELAB Color Space / CIEDE2000 / Support Vector Machine / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 286, MI2018-42, pp. 21-26, Nov. 2018.
Paper # MI2018-42 
Date of Issue 2018-10-30 (MICT, MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee MICT MI  
Conference Date 2018-11-06 - 2018-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Hyogo 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2018-11-MICT-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Laparoscopic Color Image Diagnosis for Automatic Detection of Coded Defect Region and Application of Effective Classifier Parameter 
Sub Title (in English)  
Keyword(1) Peak Signal to Noise Ratio  
Keyword(2) S-CIELAB Color Space  
Keyword(3) CIEDE2000  
Keyword(4) Support Vector Machine  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Toshiya Nakaguchi  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name  
3rd Author's Affiliation ()
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
Date Time 2018-11-06 10:40:00 
Presentation Time 20 
Registration for MI 
Paper # IEICE-MICT2018-42,IEICE-MI2018-42 
Volume (vol) IEICE-118 
Number (no) no.285(MICT), no.286(MI) 
Page pp.21-26 
#Pages IEICE-6 
Date of Issue IEICE-MICT-2018-10-30,IEICE-MI-2018-10-30 


[Return to Top Page]

[Return to IEICE Web Page]


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