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
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;
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
DOI :
10.1109/ICINIS.2009.97
