Title: Pixel scratching algorithm for edge detection of monochrome image objects
Authors: Sabina Priyadarshini, Gadadhar Sahoo
Addresses: Department of Information Technology, Birla Institute of Technology, Mesra, Ranchi, 835215 Jharkhand, India. ' Department of Information Technology, Birla Institute of Technology, Mesra, Ranchi, 835215 Jharkhand, India
Abstract: In this paper, we propose a simple and new technique called as |pixel scratching algorithm|. This method finds edges of objects in any black and white image by scratching out all those pixels that show abrupt changes in grey levels and making all other pixels as background. These scratched out pixels then form a sketch of the edge of the objects that are present in the image. In contrast to existing edge detection techniques like Laplacian operators, Sobel operators, Prewitt operators, the proposed technique gives finer edges with much less computation without the need of any mask operator, finding second derivatives or applying weight for smoothing. In this approach, edge pixels are determined by scanning the image line by line from top to bottom and finding out differences between successive pixel values, followed by thresholding. Experimental results show that the proposed method provides more promising result than the methods being compared here.
Keywords: computational efficiency; edge detection; fine edges; pixel differences; pixel scratching; monochrome images; image objects; black and white images; edge pixels; thresholding.
International Journal of Computational Vision and Robotics, 2010 Vol.1 No.3, pp.325 - 334
Published online: 15 Jan 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article