Accurate Retinal Blood Vessel Segmentation by Using Multi-Resolution Matched Filtering and Directional Region Growing (ME and Human Body) (<Special Section>Machine Vision Applications)

スポンサーリンク

概要

• 論文の詳細を見る

• A new method to extract retinal blood vessels from a colour fundus image is described. Digital colour fundus images are contrast enhanced in order to obtain sharp edges. The green bands are selected and transformed to correlation coefficient images by using two sets of Gaussian kernel patches of distinct scales of resolution. Blood vessels are then extracted by means of a new algorithm, directional recursive region growing segmentation or D-RRGS. The segmentation results have been compared with clinically-generated ground truth and evaluated in terms of sensitivity and specificity. The results are encouraging and will be used for further application such as blood vessel diameter measurement.

• 社団法人電子情報通信学会の論文
• 2004-01-01

著者

• Boyce James

  King's College London

• HIMAGA Mitsutoshi

  Hitachi, Ltd.

• Himaga Mitsutoshi

  Hitachi Ltd.

関連論文

• Accurate Retinal Blood Vessel Segmentation by Using Multi-Resolution Matched Filtering and Directional Region Growing (ME and Human Body) (Machine Vision Applications)
• Detection of Fundus Lesions Using Classifier Selection

スポンサーリンク