Contour extraction from HVEM image of microvessel using active contour models

This paper reports the research results on contour extraction from high voltage electron microscope (HVEM) images of thick cross section, which was based on the conventional edge detection operations combined with edge linking, has proven inadequate to describe the inner structural compartments of microvessels. In this paper, an active contour model (commonly referred to as 'Snakes') has been applied to advance the previous work. Active flexible paradigm for many problems in image understanding, especially in contour extraction from medical images. With the developed energy functions, the active contour is attracted towards the edges under the action of internal forces (describing some elasticity properties of the contour), image forces and external forces by means of minimization of the energy functions. Based on this active model, an effective algorithm is implemented as a powerful tool for 2-D contour extraction in our problem for the first time. The results thus obtained turn out to be encouraging.