Volume 8, Issue 3 · TMI Watch

Sept. 1989 · Volume 8, Issue 3 · Vol. 8 · Issue 3 · DOI 10.1109/42.34715

Detection of blood vessels in retinal images using two-dimensional matched filters

中文标题翻译待生成

S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, M. Goldbaum

Body Part 身体部位

Modality 模态

Abstract / 摘要

English

Blood vessels usually have poor local contrast, and the application of existing edge detection algorithms yield results which are not satisfactory. An operator for feature extraction based on the optical and spatial properties of objects to be recognized is introduced. The gray-level profile of the cross section of a blood vessel is approximated by a Gaussian-shaped curve. The concept of matched filter detection of signals is used to detect piecewise linear segments of blood vessels in these images. Twelve different templates that are used to search for vessel segments along all possible directions are constructed. Various issues related to the implementation of these matched filters are discussed. The results are compared to those obtained with other methods. >

中文

中文摘要翻译待生成

Author Info / 作者信息

S. Chaudhuri Department of Electrical Engineering, University of California, San Diego, CA, USA 机构中文翻译待生成或 IEEE 未提供机构

S. Chatterjee Department of Electrical Engineering, University of California, San Diego, CA, USA 机构中文翻译待生成或 IEEE 未提供机构

N. Katz Department of Ophthalmology, University of California, San Diego, CA, USA 机构中文翻译待生成或 IEEE 未提供机构

M. Nelson Department of Ophthalmology, University of California, San Diego, CA, USA 机构中文翻译待生成或 IEEE 未提供机构

M. Goldbaum Department of Ophthalmology, University of California, San Diego, CA, USA 机构中文翻译待生成或 IEEE 未提供机构

Translation: pending AI: pending Article 34715