Presentation 2004/1/18
An automatic extraction procedure of Drusen region in the fundus image (Medical Imaging))
Takuro IWASAKI, Tadanori FUKAMI, Takao Akatsuka, Koichi Nishitsuka, Ryo Kawasaki, Hidetoshi Yamashita,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Fundus oculi image is quite significant window of human body to observe its vascular system directly from outside. Through it, we can obtain important information on disease in early stage. Here, as an trial to analyze such image, an automatic detection of soft-drusen region is performed. After shading compensation of fundus image, pathological candidate point is selected by using the spatial characteristics of fundus image under the assumption that drusen region is described as an bright area in the picture. Then by the guidance of these candidate points, the original image is inspected again by using adaptive threshold technique. The result obtained by this rather simple procedure is compared with the decision by the oculist, and about 80% of them had good coincidences. It must be suggested a little improvement of the procedure bring us a useful supporting system for drusen diagnosis.
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Keyword(in English) fundus image / automatic feature detection / adaptive thresholding / soft drusen
Paper # MI2003-100
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Committee MI
Conference Date 2004/1/18(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An automatic extraction procedure of Drusen region in the fundus image (Medical Imaging))
Sub Title (in English)
Keyword(1) fundus image
Keyword(2) automatic feature detection
Keyword(3) adaptive thresholding
Keyword(4) soft drusen
1st Author's Name Takuro IWASAKI
1st Author's Affiliation Department of Bio-System Engineering Faculty of Engineering Yamagta University()
2nd Author's Name Tadanori FUKAMI
2nd Author's Affiliation Department of Bio-System Engineering Faculty of Engineering Yamagta University
3rd Author's Name Takao Akatsuka
3rd Author's Affiliation Department of Bio-System Engineering Faculty of Engineering Yamagta University
4th Author's Name Koichi Nishitsuka
4th Author's Affiliation Department of Ophthalmology and Visual Science, Yamagata University School of Medicine
5th Author's Name Ryo Kawasaki
5th Author's Affiliation Department of Ophthalmology and Visual Science, Yamagata University School of Medicine
6th Author's Name Hidetoshi Yamashita
6th Author's Affiliation Department of Ophthalmology and Visual Science, Yamagata University School of Medicine
Date 2004/1/18
Paper # MI2003-100
Volume (vol) vol.103
Number (no) 599
Page pp.pp.-
#Pages 6
Date of Issue