ブラックハット変換と高次局所自己相関特徴に基づく 眼底血管の自動抽出

畑中 裕司; 佐茂 和輝; 小郷原 一智; 村松 千左子; 砂山 渡; 藤田 広志

doi:10.11371/wiieej.16.01.0_27

Reports of the 278th Technical Conference of the Institute of Image Electronics Engineers of Japan

Session ID : 16-01-08

DOI https://doi.org/10.11371/wiieej.16.01.0_27

Conference information

Host: The Institute of Image Electronics Engineers of Japan

Co-host: The Institute of Image Information and Television Engineers

Name : Reports of the 278th Technical Conference of the Institute of Image Electronics Engineers of Japan

Number : 278

Location : [in Japanese]

Date : August 26, 2016 -

Automated Retinal Blood Vessels Extraction Based on Black-Hat Transformation and High Order Local Autocorrelation

*Yuji HATANAKA, Kazuki SAMO, Kazunori OGOHARA, Chisako MURAMATSU, *Wataru SUNAYAMA, Hiroshi FUJITA

Author information

Keywords: Blood vessel extraction, High-order local autocorrelation, Hypertensive change, Retinal image, Image segmentation

CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details

Abstract

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.

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