Development of Edge Detection Technique for Images Using Adaptive Thresholding

Edge detection is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer to algorithms which aim at identifying points in a digital image at which the image brightness changes sharply or more formally has discontinuities. In this paper a simple edge detection technique is performed by convoluting the image using a five order mask and then Selecting a threshold from taking the sum of mean value and the standard deviation of the gradient image within a 3 X 3 window. In Canny edge detection a gauss kernel is used for smoothing the image in order to eliminate the noise. But in our algorithm a single mask perform the noise smoothing as well as finding the edge strength.