MVN_CNN and UBN_CNN for endocardial edge detection

Abstract

In this paper, Universal Binary Neurons Cellular Neural Networks (UBN_CNN) endocardial edge detection is proposed. The echocardiographic image is preprocessed to enhance the contrast and smoothness by utilizing Multi Valued Neural Cellular Neural Networks (MVN_CNN) non linear filter. UBN_CNN is applied to the smoothed image to extract the heart boundaries. A non threshold Boolean function with nine variables is utilized to detect the edges corresponding to the upward and downward brightness overleaps. Some experimental results are given for different echocardiographic images. The combination of MVN_CNN and UBN_CNN approach showed better results for extracting the LV endocardial boundaries.