Endocardial edge detection by fuzzy inference system

In this paper we propose a new method for edge detection in ultrasound images by using a fuzzy inference system (FIS). The input image is preprocessed and the difference in intensities of each pixel to its neighborhood is given as input to the FIS. Depending on the magnitude of differences, sufficient inference rules were defined in the system to get the edges even in the low contrast region. This method is successfully applied to the echocardiogram images to detect the left ventricle (LV) endocardial borders and some experiments are given.