EDGE DETECTION OF AN IMAGES BY INCREASING WPR USING IMPROVISED CANNY EDGE DETECTOR

Abstract

Object recognition means finding the spot of the object and recognize it. Basically this techniques used for the object detection are feature matching algorithm, pattern comparison and boundary detection. The feature matching algorithms are used for finding the best solution matching object in the knowledge base and implement the reconstruction of the recognized object. Edge detection is a field which has intrigued programmers since early 1970s. Since then, a good number of edge detection techniques have come up but the technique used by Canny  is very widely used. However, it has been observed that the results are not that efficient while dealing with alpha numeric sections or geometrical figures or fine grain region in an image. To mitigate these limitations, an improvised edge detection technique is proposed. The technique uses a Laplacian of Gaussian gradient with a new approach towards the thresholding section.