Detecting Branching Structures Using Local Gaussian Models
Wang, L. and Bhalerao, A.H. (2001) Detecting Branching Structures Using Local Gaussian Models. Technical Report. University of Warwick, Coventry, UK.
- Published Version
This report presents a method of detecting branching structure, such as blood vessels from retinal images, using a Gaussian Intensity model. Features are modelled with a Gaussian function parameterised by position, orientation and variance within some spatial window. Multiple features are modelled using a superposition of Gaussian models. A non-parametric classifier (k-means) is used to cluster components corresponding to each feature. Two different groups of images are used to test the methodology: artificial images and images of the human retina.
|Item Type:||Monograph (Technical Report)|
|Uncontrolled Keywords:||pcav hpsg image signal processing branch detection|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
|Divisions:||Faculty of Science > Computer Science|
|Depositing User:||Simon Hammond|
|Date Deposited:||19 Jun 2011 20:47|
|Last Modified:||23 Feb 2012 09:09|
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