Paper Abstract and Keywords |
Presentation |
2016-08-26 15:20
Automated retinal blood vessel extraction based on black-hat transformation and high-order local autocorrelation Yuji Hatanaka, Kazuki Samo, Kazunori Ogohara (Univ. Shiga Prefecture), Chisako Muramatsu (Gifu Univ.), Wataru Sunayama (Univ. Shiga Prefecture), Hiroshi Fujita (Gifu Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
An automated blood vessel extraction using high-order local autocorrelation (HLAC) on retinal images is presented. The blood vessels were enhanced by black-hat transformation as a pre-processing. One hundred five HLAC features were calculated in a black-hat filtered image, and they were inputted into a first layer of an artificial neural network (ANN). The output, a green component of the color retinal image, output values of three kinds of filter were then inputted into a second layer of ANN. Using DRIVE database, the area under the curve (AUC) based on ROC analysis was 0.960 as a result of our study. The result can be used for the blood vessels extraction. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Blood vessel extraction / High-order local autocorrelation / Hypertensive change / Retinal image / Segmentation / / / |
Reference Info. |
ITE Tech. Rep., vol. 40, pp. 27-30, Aug. 2016. |
Paper # |
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Date of Issue |
2016-08-19 (AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
AIT IIEEJ |
Conference Date |
2016-08-26 - 2016-08-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
FUTURE UNIVERSITY HAKODATE |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
IIEEJ |
Conference Code |
2016-08-AIT-IIEEJ |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Automated retinal blood vessel extraction based on black-hat transformation and high-order local autocorrelation |
Sub Title (in English) |
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Keyword(1) |
Blood vessel extraction |
Keyword(2) |
High-order local autocorrelation |
Keyword(3) |
Hypertensive change |
Keyword(4) |
Retinal image |
Keyword(5) |
Segmentation |
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1st Author's Name |
Yuji Hatanaka |
1st Author's Affiliation |
University of Shiga Prefecture (Univ. Shiga Prefecture) |
2nd Author's Name |
Kazuki Samo |
2nd Author's Affiliation |
University of Shiga Prefecture (Univ. Shiga Prefecture) |
3rd Author's Name |
Kazunori Ogohara |
3rd Author's Affiliation |
University of Shiga Prefecture (Univ. Shiga Prefecture) |
4th Author's Name |
Chisako Muramatsu |
4th Author's Affiliation |
Gifu University (Gifu Univ.) |
5th Author's Name |
Wataru Sunayama |
5th Author's Affiliation |
University of Shiga Prefecture (Univ. Shiga Prefecture) |
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Hiroshi Fujita |
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Gifu University (Gifu Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-08-26 15:20:00 |
Presentation Time |
25 minutes |
Registration for |
IIEEJ |
Paper # |
AIT2016-144 |
Volume (vol) |
vol.40 |
Number (no) |
no.27 |
Page |
pp.27-30 |
#Pages |
4 |
Date of Issue |
2016-08-19 (AIT) |