Title :
Beamlet transform based technique for pavement image processing and classification
Author :
Ying, L. ; Salari, E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
Abstract :
The goal of this paper is to automatically detect and classify pavement cracks using digital image processing techniques. This paper uses a pavement distress image enhancement algorithm to correct non-uniform background illumination by calculating the multiplication factors that eliminate the background lighting variations. To extract the linear features such as surface cracks from the pavement images a beamlet transform based algorithm is developed.
Keywords :
condition monitoring; feature extraction; image classification; image enhancement; roads; beamlet transform based technique; digital image processing techniques; image classification; linear feature extraction; nonuniform background illumination; pavement distress image enhancement algorithm; Background noise; Clustering algorithms; Discrete wavelet transforms; Image processing; Image segmentation; Inspection; Lighting; Pixel; Remote monitoring; Surface cracks;
Conference_Titel :
Electro/Information Technology, 2009. eit '09. IEEE International Conference on
Conference_Location :
Windsor, ON
Print_ISBN :
978-1-4244-3354-4
Electronic_ISBN :
978-1-4244-3355-1
DOI :
10.1109/EIT.2009.5189598
