基于ARM的图像特征分析设计  

Design of image features analysis based on ARM

作　　者：刘青正[1] 韦艳霞[1] 

机构地区：[1]广西科技大学电气与信息工程学院,广西柳州545006

出　　处：《电子设计工程》2014年第21期135-137,共3页Electronic Design Engineering

基　　金：广西科技大学科学基金项目(校科自1261112)

摘　　要：随着计算机技术和图像处理技术的高速发展,图像的特征提取需求越来越多。本文研究的重点是图像处理中特征提取的理论和算法,并实现特定控制器程序的编写。研究完成了基于ARM控制器的软硬件设计,实现了包括图像边缘、图像周长、图像区域、三基色均值等算法的特征提取。设计与研究的结果显示,实现了既定算法的程序描述,对既定目标的特征提取率达到了90%,获得了预期的效果。With the increasing development of computers and image processing technology, Image feature extraction needs more and more. The paper of the study focuses is the theory and algorithms for image processing feature extraction,and programming on specific controller. The research completed the hardware and software design based on ARM controller, and achieved feature extraction includes image edge, image perimeter, image area, Trichromatic mean etc. The results of design and research show that it＇s achieve the established procedure described in the algorithm, and for a given target feature extraction rate reached 90%. The desired result is achieved.

关 键 词：图像处理 图像特征 STM32控制器 边缘检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]