基于机器视觉的离散傅里叶变换目标识别方法

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;利用离散的傅里叶变换对图像数据提取特征,能够更好的辨别数据细节,从而可通过图像的比对来实现目标的识别。该方法在对实际的静止图像进行处理与计算后,能够很好的对图像的细节变化进行识别。

Identifying image methods based on machine vision and DFT

A identifying image methods based on machine vision and DFT are studied,The images are collected and video signal is processed using computer technology.The using separation of image data based on DFT features,the details of the data are identified better,thereby achieving images contrast achieve are studied target identification.In dealing with the calculation of static images,images can be good to change the details of identification.