Title :
Color-based texture image segmentation for vehicle detection
Author :
Mejía-Iñigo, Ricardo ; Barilla-Pérez, María E. ; Montes-Venegas, Héctor A.
Author_Institution :
Univ. Autonoma del Estado de Mexico, Toluca, Mexico
Abstract :
This paper describes a novel method for detecting vehicles on a highway using two visual features: color and texture. Our method consists of a segmentation process computed on the L*u*v* color space and a texture feature extraction procedure based on Dual-Tree Complex Wavelet Transform. We also apply a denoising process using morphological operations to build a background model and make possible the detection of the vehicles in the scene.
Keywords :
automated highways; feature extraction; image colour analysis; image denoising; image segmentation; image texture; wavelet transforms; color based texture image segmentation; dual tree complex wavelet transform; image denoising process; morphological operation; texture feature extraction; vehicle detection; Color; Feature extraction; Image segmentation; Layout; Morphological operations; Noise reduction; Road transportation; Road vehicles; Vehicle detection; Wavelet transforms;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control,CCE,2009 6th International Conference on
Conference_Location :
Toluca
Print_ISBN :
978-1-4244-4688-9
Electronic_ISBN :
978-1-4244-4689-6
DOI :
10.1109/ICEEE.2009.5393396