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Driver driver fatigue warning system image pre-processing technology

Author: PangBaiMei
Tutor: YuWeiBo
School: Changchun University of
Course: Measuring Technology and Instruments
Keywords: Driver fatigue Image pre-processing Wavelet analysis VisuShrink threshold Relevance Histogram equalization
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 85
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Abstract


With the development of transportation and the increasing speed, traffic accidents have become the current serious problems for all countries. Meanwhile, traffic accidents caused by driver fatigue have become one of the main factors. Therefore, how to monitor and prevent fatigue driving effectively is an important practical significance to reduce traffic accidents and mortality. With the development of Image Processing Technology, the real-time detection systems for driver fatigue based on computer vision has bright prospects, especially in high quality active automobile safety and accident avoidance measurement. Image preprocessing is a crucial section when using computer vision to monitor the driving behavior.As to degraded image acquisition from driver fatigue monitoring system, we do study on Image pre-processing algorithms. Firstly, as to gaussian noise in the collected images, at the base of VisuShink threshold, an improved threshold algorithm based on inter-scale dependency of wavelets coefficients is put forward. This method overcomes "overskilled" in the VisuShrink by using inter-scale dependency of wavelets coefficients. Secondly, as to the weakness of image contrast and narrowness of gray-scale range caused by brightness in cab,we propose an image enhancement algorithm based on histogram equalization through using combination of histogram equalization and wavelets transform. Comparison experiment is simulated on the platform of MATLAB. Test images used in this paper come from image library of Matlab and pictures taken in the cab. The experimental results show that these improved algorithms are feasible and effective. Lastly, this topic implement the improved algorithms on the real-time image operation system based on DSP. We also do experiments using images collected in real environment. The experiments show that the improved image pre-processing effectively increase image quality in driver fatigue monitoring system. These improved algorithms secure the of accuracy of driver fatigue monitoring system.Through improvements of image pre-processing, accuracy of drive fatigue monitoring system is further improved about distinguish, extraction and judgement of useful information.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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