Comparative analysis of Edge detection methods for 3D-Common Carotid Artery Image using LabVIEW
R. J. Hemalatha, R. Rasu, N. Santhiyakumari, M. Madheswaran · 2018
In today's scenario, numerous innovative techniques are used in diagnosing images captured from medical imaging system. Edge detection methods decreasethe quantity of data and eliminate futile information. The objective of this paper is to comparethe performance of different edge detection methods like canny deriche, Morpho gradient, Prewitt, Ridge Valley, Roberts, Sobel and Zero crossing of 3D-Common Carotid Artery image. The statistical parameters are considered to study the performance of edge detection methods using LabVIEW software. The observation from the result shows that Canny Deriche edge detection method is more suitable than other methods. This can be used in medical applications to detect and extract the features of an image.