Extraction of Blood Vessels in Retinal Images Using Four Different Techniques. (17th December 2013)

• Record Type: Journal Article
• Authors: Mudassar, Asloob Ahmad; Butt, Saira
• Other Names: Al-Nashash Hasan Academic Editor.
• Is Part Of: Journal of medical engineering. Volume 2013(2013)
• Publication Date: 2013-12-17
• Subjects: Biomedical engineering -- Periodicals; Biomedical Engineering; Biomedical engineering; Periodicals; 610.28
• DOI: 10.1155/2013/408120
• Languages: English
• ISSNs: 2314-5129

Abstract

Abstract : A variety of blood vessel extraction (BVE) techniques exist in the literature, but they do not always lead to acceptable solutions especially in the presence of anomalies where the reported work is limited. Four techniques are presented for BVE: (1) BVE using Image Line Cross-Sections (ILCS), (2) BVE using Edge Enhancement and Edge Detection (EEED), (3) BVE using Modified Matched Filtering (MMF), and (4) BVE using Continuation Algorithm (CA). These four techniques have been designed especially for abnormal retinal images containing low vessel contrasts, drusen, exudates, and other artifacts. The four techniques were applied to 30 abnormal retinal images, and the success rate was found to be (95 to 99%) for CA, (88–91%) for EEED, (80–85%) for MMF, and (74–78%) for ILCS. Application of these four techniques to 105 normal retinal images gave improved results: (99-100%) for CA, (96–98%) for EEED, (94-95%) for MMF, and (88–93%) for ILCS. Investigations revealed that the four techniques in the order of increasing performance could be arranged as ILCS, MMF, EEED, and CA. Here we demonstrate these four techniques for abnormal retinal images only. ILCS, EEED, and CA are novel additions whereas MMF is an improved and modified version of an existing matched filtering technique. CA is a promising technique.