JIP_V3_N2_RP4 R. Hemalatha N. Santhiyakumari M. Madheswaran S. Suresh Journal on Image Processing 2349-6827 3 2 26 34 Edge Detection, Ultrasound Image, Canny-Deriche, Aphelion Dev, Unified Technology Learning Platform (UTLP) In today's scenario, several advanced techniques are used in diagnosing images prevailed from medical imaging system. Edge detection methods reduce the quantity of data and remove ineffective information while preserving important structural properties in an image. The objective of this paper is to compare the performance of different edge detection methods like canny deriche, Morpho gradient, Prewitt, Ridge Valley, Roberts, Sobel and Zero are crossing of the Common Carotid Artery image. The statistical parameters such as minimum and maximum pixel values, mean, standard deviation, skewness and kurtosis are considered to study the performance of various edge detection methods with the aid of Aphelion Dev software. The edge detecting image has been implemented in Unified Technology Learning Platform to increase the processing speed of an image. It has been observed that Canny Deriche edge detection method is more suitable than other methods for detecting accurate edges. This can be used in medical applications to detect and extract the features of an image. April - June 2016 Copyright © 2016 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=6027