A study on anti-geometric diffusion for the segmentation of human knee cartilage

Abstract

Anisotropic diffusion was first introduced by Perona and Malik [1] for image smoothing and denoising. Since then, the field has matured and a better understanding of its properties and implementation has led to numerous applications for image processing. The objective of this study is to evaluate the effectiveness of anti-geometric diffusion as a method for segmenting knee cartilage from MRI scans. This report will give a detailed description of anti-geometric diffusion and investigate its use together with energy based region merging as a greyscale segmentation method proposed by Manay [2]. A description of the method as well as its implementation will be presented in this report. We will also display and discuss some of the results obtained from running Manay’s segmentation method on our library of knee MRI