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JOURNALS // Computer Optics // Archive

Computer Optics, 2014 Volume 38, Issue 3, Pages 529–538 (Mi co230)

IMAGE PROCESSING, PATTERN RECOGNITION

Estimating the geometric features of a 3D vascular structure

N. Yu. Ilyasovaab

a Samara State Aerospace University
b Image Processing Systems Institute, Russian Academy of Sciences

Abstract: Methods and algorithms for estimating the geometric features of 2D and 3D tree-like structures are proposed. The methods have major application areas in biomedical problems associated with the analysis and measurement of vascular system peculiarities: 2D eye-retina structure and 3D cardiovascular system. The immunity of the estimation methods to different types of noise and the feasibility of the feature-based clustering of vessel samplings are experimentally studied.

Keywords: human vascular system, geometric features.

Received: 30.06.2014



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