Automatic segmentation of blood vessels from retinal fundus images through image processing and data mining techniques

DOI10.1007/S12046-015-0411-5zbMath1339.94007OpenAlexW1916849845MaRDI QIDQ301762

R. Geetharamani, Lakshmi Balasubramanian

Publication date: 1 July 2016

Published in: Sādhanā (Search for Journal in Brave)

Full work available at URL: https://www.ias.ac.in/describe/article/sadh/040/06/1715-1736

zbMATH Keywords

classificationclusteringGabor filteringprinciple component analysisblood vessel segmentationSTARE database

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• C4.5

Cites Work

• Bagging predictors
• Random trees and applications
• Principal component analysis.
• Least squares quantization in PCM
• An Automatic Hybrid Method for Retinal Blood Vessel Extraction

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