@inproceedings{1fa3f5a0268446afaa4e1ccaaefb728f,
title = "A triple-diagonal gradient-based edge detection",
abstract = "Gradient-based edge detection is a straightforward method to identity the edge points in the original grey-level image. It is consistent with the intuition that in the human vision system the edge points always appear where the change of grey-level is greatest within their neighbourhood. In this paper, triple-diagonal gradient-based edge detection is introduced. It is based on the features of Spiral Architecture and computes the gradients in three diagonal directions instead of approximating the gradient in one direction only as the traditional methods do. Essentially, it improves the accuracy for locating edge points. As a result, it does not need any supplementary processing to enhance the edge map.",
keywords = "Edge Detection, Laplacian of Gaussian Method, Spiral Architecture",
author = "Qiang Wu and Xiangjian He and Tom Hintz",
year = "2003",
language = "English",
isbn = "0889863768",
series = "IASTED International Conference on Computer Graphics and Imaging",
pages = "244--249",
editor = "M.H. Hamza and M.H. Hamza",
booktitle = "IASTED International Conference on Computer Graphics and Imaging",
note = "Sixth IASTED International Conference on Computer Graphics and Imaging ; Conference date: 13-08-2003 Through 15-08-2003",
}