Thesis-1995-EustaquioMartin.pdf (2.52 MB)
Dimensional analysis of blood vessel morphology using image processing techniques
thesis
posted on 2018-02-23, 14:59 authored by Almudena Eustaquio-MartinAn image processing procedure to perform a quasi-real time dimensional analysis of
blood vessels undergoing morphological changes in a perfusion myograph is
developed. Images of blood vessels are recorded using perfusion myography and
video microscopy. The vessels' edges are detected automatically using an edge-tracking
algorithm which combines a tracking method with image processing
techniques, including: gradient operators and threshold. Because of the scattering
effects that occur when the images are recorded, the edges found by the algorithm are
not the actual vessels' edges. An attempt to correct this effect using a low order optical
model based on Beer-Lambert's law of light transmission through absorbing media is
proposed and tested.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Publisher
© A. Eustaquio-MartinPublisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 2.5 Generic (CC BY-NC-ND 2.5) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/2.5/Publication date
1995Notes
A master's thesis submitted in partial fulfilment of the requirements for the award of Master of Philosophy at Loughborough University.Language
- en