Improved Dempster and Shafer theory to fuse region and edge based level set for endocardial contour detection

Data fusion is an important tool for improving the performance of a detection system when more than one classifier is available. The reasoning logic of Dempster-Shafer evidence theory for fusion is similar to that of humans. This paper discusses application of a data fusion method which is based on improvements to the Dempster-Shafer theory, to echocardiographic images in order to increase the detection accuracy of the endocardial contours. In this paper, edge and region based level sets are implemented. The Improved Dempster-Shafer evidence fusion algorithm is applied to combine the detected contours resulting in promising results as shown by computational experiments.