Segmentation of Medical Images of Different Modalities Using Distance Weighted C-V Model
Region-based active contour model (ACM) has been extensively used in medical image segmentation and Chan & Vese’s (C-V) model is one of the most popular ACM methods. We propose to incorporate into the C-V model a weighting function to take into consideration the fact that different locations in an image with differing distances from the active contour have differing importance in generating the segmentation result, thereby making it a weighted C-V (WC-V) model. The theoretical properties of the model and our experiments both demonstrate that the proposed WC-V model can significantly reduce the computational cost while improve the accuracy of segmentation over the results using the C-V model.
KeywordsCorpus Callosum Image Segmentation Segmentation Result Active Contour Active Contour Model
Unable to display preview. Download preview PDF.
- 6.Kichenassamy, S., Kumar, A., Olver, P., Tannenbaum, A., Yezzi, A.: Gradient flows and geometric active contour models. In: Proc. 5th Int. Conf. Comp. Vis., pp. 810–815 (1995)Google Scholar
- 12.Shi, Y., Karl, W.C.: A fast level set method without solving PDEs. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 97–100 (2005)Google Scholar