DocumentCode
2856229
Title
Application of a Self-Adaptive Canny Algorithm for Detecting Road Surface Distress Image
Author
Hou, Xiangdan ; Dong, Yongfeng ; Zhang, Hu ; Gu, Junhua
Author_Institution
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
fYear
2009
fDate
1-3 Nov. 2009
Firstpage
354
Lastpage
357
Abstract
The arithmetic based on Canny´s regulation has been widely used in image edge detection. This paper illustrates the algorithm and proposes an improved method based on the Histogram-based fuzzy C-means clustering algorithm for the lack of the Canny algorithm, so the Canny algorithm can adaptively determine the double thresholds. Its application in detecting road surface distress image produces good effect.
Keywords
edge detection; fuzzy set theory; pattern clustering; Histogram-based fuzzy C-means clustering algorithm; image edge detection; road surface distress image detection; self-adaptive Canny algorithm; Adaptive filters; Application software; Clustering algorithms; Computer science; Histograms; Image edge detection; Image segmentation; Intelligent networks; Intelligent systems; Roads; Canny algorithm; FCM; edge detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-5557-7
Electronic_ISBN
978-0-7695-3852-5
Type
conf
DOI
10.1109/ICINIS.2009.97
Filename
5365715
Link To Document