提出了一种基于机器视觉与离散傅里叶变换的目标特征识别方法。 利用计算机图像技术采集和处理图像信号；
A identifying image methods based on machine vision and DFT are studied, The images are collected and video signal is processed using computer technology.
该方法将图像平滑、区域分割、阈值分割等多种图像处理技术有机的结合，对采集的图片成功的实现目标汽车提取，并且具有计算速度快、准确性高的特点。
It combined the technology of image smooth, region segmentation and threshold segmentation and picked up the object auto. It has high speed and high veracity in program.
必备的组件包括：灯源，部件定位，摄相机，光学与控制逻辑，以及图像采集设备，处理软件和技术服务。
Among the essential components: lighting, part positioning, cameras, optics and control logic, as well as image acquisition hardware, processing software, and engineering services.
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