An improved canny edge detection application for asphalt concrete

Author

Agaian, Sos ; Almuntashri, Ali ; Papagiannakis, A.T.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

3683

Lastpage

3687

Abstract

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.

Keywords

asphalt; concrete; edge detection; filtering theory; image fusion; image segmentation; production engineering computing; AC image dataset; asphalt concrete; edge preservation filtering; image fusion; image segmentation; improved Canny edge detection; Aggregates; Application software; Asphalt; Computed tomography; Concrete; Filtering; Image edge detection; Image processing; Image segmentation; X-ray imaging; Asphalt concrete; Canny operator; edge detection; gradient vector; image fusion; image segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346873

Filename

5346873