ALHASSON, HAIFA,FAHAD,S (2019) Enhancement, Extraction and Analysis of Curvilinear Structure in Biomedical Images. Doctoral thesis, Durham University.
|PDF - Accepted Version|
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.
|Item Type:||Thesis (Doctoral)|
|Award:||Doctor of Philosophy|
|Keywords:||Enhancement;skeletonisation;curvilinear structures;biomedical; medical;FAT;DRIVE;skeleton|
|Faculty and Department:||Faculty of Science > Computer Science, Department of|
|Copyright:||Copyright of this thesis is held by the author|
|Deposited On:||28 Oct 2019 14:11|