Improved Simplified Novel Method for Edge Detection in Grayscale Images Using Adaptive Thresholding
Tirath Prasad Sahu, Yogendra Kumar Jain · Journal of Advances in Computer Networks · 2015
Edges play a crucial role in digital image processing.In this paper, an improved simplified novel method is presented to improve the quality of edge detection in grayscale images.In this method, a 3x3 binary matrix is employed to process each and every pixel by means of vicinity.Each pixel is considered an input and by examining binary matrix, the edge pixel is specified and by utilizing conditions and adaptive thresholding of the algorithm, edges are displayed more clearly.This method not only detects edge in images but removes noise as well.A comparative study of different edge detection techniques like Sobel, Prewitt, Roberts, LoG, zero-cross, Canny, fuzzy techniques and SNM with the proposed technique is presented.The proposed technique gives better results in terms of smoothness, sharpness, continuity, true edges and execution time than the conventional edge detection techniques.