文章基本信息

标题：A NOVEL IMPROVED GRADIENT NOISE TOLERANT METHOD FOR ENHANCED EDGE DETECTION
本地全文：下载
作者：N. ANANDAKRISHNAN LT. DR. S. SANTHOSH BABOO
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：66
期号：2
出版社：Journal of Theoretical and Applied
摘要：Edge Detection is the process of identifying the sharp changes that occur in the brightness of an image. In order to study the objects in an image it is necessary that the Edges are clear and predictable which is not the case in real time images. Identifying Edges becomes a tedious process when real time images are considered. An Improved Gradient Noise Tolerant (IGNT) method involves the processes of observing the fine details of the image by omitting the irrelevant data including the noisy data and detecting the edges of the objects and features in the image using Preprocessing, Thresholding, Binarization and Feature Extraction, which are experimented, analyzed and the results obtained are discussed in this paper.
关键词：Otsu�s method; Edge Detection; threshold; features; object; LoG; Canny; pyramid.