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Color-based texture image segmentation for vehicle detection

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3 Author(s)
Ricardo Mejía-Iñigo ; Universidad Autónoma del Estado de México ; María E. Barilla-Pérez ; Héctor A. Montes-Venegas

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.

Published in:

Electrical Engineering, Computing Science and Automatic Control,CCE,2009 6th International Conference on

Date of Conference:

10-13 Jan. 2009