An Improved Canny Edge Detection Application for Asphalt Concrete

被引：11

作者：

Agaian, Sos ^{[1
]}

Almuntashri, Ali ^{[1
]}

Papagiannakis, A. T. ^{[2
]}

机构：

[1] Univ Texas San Antonio, Dept Elect & Comp Engn, San Antonio, TX 78249 USA

[2] Univ Texas San Antonio, Dept Civil & Environm Engn, San Antonio, TX 78249 USA

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年

关键词：

Asphalt concrete; Canny operator; edge detection; gradient vector; image fusion; image segmentation;

D O I：

10.1109/ICSMC.2009.5346873

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we introduce an improved Canny edge detection algorithm and an edge preservation filtering procedure for Asphalt Concrete (AC) applications. Datasets of AC images were randomly selected to test this algorithm. Computer simulations show that the improved algorithm can make up for the disadvantages of Canny algorithm, detect edges of AC images effectively, and is a less time-consuming process. Particularly, it has been shown that the presented algorithm can not only eliminate noises effectively but also protect unclear edges.

引用

页码：3683 / +

页数：2

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