Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.788097
Title: Enhancement, extraction and analysis of curvilinear structure in biomedical images
Author: Alhasson, Haifa Fahad S.
ISNI:       0000 0004 7973 1948
Awarding Body: Durham University
Current Institution: Durham University
Date of Award: 2019
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Abstract:
An important subeld of image processing is the analysis and detection of curvilinear structures. A wide range of real-life applications rely on its usage for analysing biomedical images and these could be categorised as enhancement, segmentation, skeletonisation and ridge detection; regression and classication. Understanding the nature of the relationship between the aforementioned applications can lead to hybrid techniques never investigated in the literature before, enriching and expanding our knowledge. To our knowledge, such attempts have not yet been reported in the literature. This thesis has been carried out in search for new computerised methods to improve the detection and analysis of biomedical images.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.788097  DOI: Not available
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