Tracking anti-collision system for intelligent vehicle based on machine vision is not easy to be realized in embedded system because of its high requirement for information

computation speed and storage capacity.With the method of extracting machine vision image information equidistantly

images acquired only retain its minimum feature

which compressed the acquisition and lighten the stress of storage.A simplified threshold-based edge extraction operator is proposed based on the research of the traditional image of edge detection operator

which is helpful to increase the speed of computation.This method is approved to be efficient by simulation and be verified on the platform of smart model car.