Echocardiography is the predominant technique for quantitative assessment of cardiac function. This paper presents a new noise resistive method for segmenting echocardiographic images using fuzzy logic and texture properties. In echocardiographic images, the transition between blood pool and myocardium is significant, which reflects as variations in texture properties. Our edge detection method...

In this paper, the edge detection using fuzzy neural network is described. The input features are fuzzy sets and a learning algorithm employs fuzzified delta rule. To increase the efficiency during the training, the varied learning rate and the momentum is applied instead of fixed values. In addition, instead of pixel-based inputs, the texture-based inputs are fed into the fuzzy neural network ...

Digital image processing is widely used by many research oriented fields. Edge detection method is one of the important techniques in image segmentation, which is used to find out exact position of objects in the given image. Edge detection can be achieved by various approaches such as Canny, Prewitt, Sobel, etc. Fuzzy Logic techniques have been used in image understanding applications such as ...

In this paper, a new method to edge detection in blurred images, like radiological ones, has been developed. It is based on fuzzy systems, in order to incorporate the expert knowledge about the images. Fuzzy logic is used to obtain the edge of a bone in a radiological image without being forced to adjust the system. Classical algorithms, like Sobel filter, obtain similar results, but the final ...