An improved edge detection approach and its application in defect detection

Abstract

In this paper, a simple and efficient edge detection technique is proposed. It is based on the properties of the hyper smoothing function and the fundamentals of modified local binary pattern and hence, called as HY-LBP. The main advantage of the proposed approach is that the relationship between surrounding pixels and centric one is calculated effectively and extract the surrounding information discriminatively. The counting scheme that counts the number of image points whose pixel values are greater or equal than that of the central pixel help to reduce the noise and blurring effects. Thus, HY-LBP can effectively deal with the noises, blurring, and contrast variation. The effectuality and feasibility of the proposed approach is demonstrated on various synthetic and real time images. Experimental results have shown the effectiveness as well as the better performance of the proposed approach for edge detection as compared to the other existing methods. The presented method can be used in metal sheet defect detection applications.