基于ADD的边缘检测系统应用与评价

2007 International Conference on Computational Science and its Applications (ICCSA 2007) Pub Date : 2007-08-26 DOI:10.1109/ICCSA.2007.64

Jong Gu Lee, Eun Mi Kim, Cheol-Jung Yoo, Ok-Bae Chang

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引用次数: 3

摘要

为了在真实图像中精确地检测和定位边缘特征，我们开发了一种算法，通过引入一种称为自适应方向导数(ADD)的强度剖面的非局部微分，该算法独立于坡道宽度的变化进行评估。在本文中，我们首先开发了基于ADD的边缘检测系统，然后通过与Canny边缘检测结果的比较来说明该算法的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application and evaluation of edge detection system employing the ADD

In order to detect and locate edge features precisely in real images we have developed an algorithm by introducing a nonlocal differentiation of intensity profiles called adaptive directional derivative (ADD), which is evaluated independently of varying ramp widths. In this paper, we first develop the edge detector system employing the ADD and then, the performance of the algorithm is illustrated by comparing the results to those from the Canny's edge detector.

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2007 International Conference on Computational Science and its Applications (ICCSA 2007)

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