Directional geodesic active contour for image segmentation

Directional geodesic active contour for image segmentation

By incorporating the image gradient directional information into the geodesic active contour model, we propose a novel active contour model called directional geodesic active contour, which has the advantage of selectively detecting the image edges with different gradient directions. The experiment results show the high performance of the proposed active contour in image segmentation, especiall...

Coupled Geodesic Active Regions for Image Segmentation

This paper presents a novel variational method for image segmentation which is obtained by unifying boundary and region-based information sources under the Geodesic Active Region framework. A statistical analysis over the observed density function (image histogram) using a mixture of Gaussian elements, indicates the number of the di erent regions and their intensity properties. Then, the bounda...

Constrained Active Contour For Interactive Image Segmentation

Interactive image segmentation algortihms incorporates small amount of user interaction to define the desired content to be extracted, has received much attention in the recent years. We propose a robust and accurate interactive method based on the recently developed continuous-domain convex active contour model. The proposed method exhibits many desirable properties of an effective interactive...

Geodesic tractography segmentation for directional medical image analysis

A geodesic-active-contour-based variational model for short-axis cardiac MR image segmentation

We propose a novel geodesic active contour based variational model that uses two level set functions to segment the right and left ventricles and the epicardium in short axis MR images. For the right ventricle, the myocardial wall is typically very thin and hard to identify using the resolution of existing MR scanners. We propose to use two level sets to identify the both endocardial wall by pu...