A Dual Step Strategy for Retinal Thin Vessel Enhancement/Extraction

Title

A Dual Step Strategy for Retinal Thin Vessel Enhancement/Extraction

Creator

Wahid F.F.; Raju G.

Description

Blood vessel extraction from retinal images is a challenging and fundamental step in pathological analysis. Most of the vessel extraction algorithms face difficulty in the extraction of thin vessels. In this paper, a dual step strategy for retinal thin vessel enhancement/extraction is proposed. Since thin vessel pixels have intensities closer to the background non-vessel pixels, the first level enhancement algorithms usually suffers in its accurate extraction. This led to explore a novel idea of eliminating the effects of thick vessel pixels in a reference image, via replacing it with neighboring non-vessel pixels. By applying second level enhancement on the vessel subtracted image, thin vessels are projected and improvement in extraction is attained subjectively as well as objectively. 2019 IEEE.

Source

Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, pp. 666-671.

Date

2019-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Blood Vessel; CLAHE; Eye Fundus; FHBE; Fusion; Image Enhancement; Vessel Extraction

Coverage

Wahid F.F., Department of Information Technology, Kannur University, Kannur, Kerala, 670567, India; Raju G., Department of CSE, Christ (Deemed to Be University), Bengaluru, Karnataka, 560764, India

Rights

Restricted Access

Relation

ISBN: 978-153869346-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/AICAI.2019.8701376

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065621105&doi=10.1109%2fAICAI.2019.8701376&partnerID=40&md5=b571a28d7431e24b6e0c6f3fa47933a0