A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features

Marín, D.; Aquino, Arturo; E. Arias, M.; Bravo, J.M.

doi:10.1109/tmi.2010.2064333

Public

A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features

Published in IEEE Transactions on Medical Imaging • Aug 10, 2010

Authors:

D. Marín

Arturo Aquino

M. E. Arias

Abstract

This paper presents a new supervised method for blood vessel detection in digital retinal images. This method uses a neural network (NN) scheme for pixel classification and computes a 7-D vector composed of gray-level and moment invariants-based features for pixel representation. The method was eval...

Subject

Artificial intelligence

Computer science

Segmentation

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