基于CCS的图像边缘检测和提取设计  

Image edge detection and extraction based on CCS

作　　者：王年[1] 应骏[1] 

机构地区：[1]上海师范大学信息与机电工程学院,上海200234

出　　处：《现代电子技术》2012年第10期73-74,共2页Modern Electronics Technique

摘　　要：Matlab对数字图像的处理在工程化方面存在一定的不足。针对这一不足,利用硬件仿真平台CCS,采用数字图像灰度梯度最大值法、Sobel算子边缘检测算法对数字图像进行检测,实现了数字图像的边缘提取。实验表明,Sobel算子边缘检测算法对数字图像进行边缘检测和提取的效果比较理想,且为图像处理提供了一种硬件实现方法。In allusion to the deficiencies existing in processing the digital images in the engineering field by using Matlab,the hardware simulation platform CCS（code composer studio）,digital image gray gradient maximum method and Sobel operator edge detection algorithm are adopted to achieve the edge detection and extraction of digital images.The experimental result indicates that the Sobel operator edge detection algorithm is ideal for edge detection and extraction of digital images,provides a method for image processing by hardware.

关 键 词：边缘检测 梯度 SOBEL算子 CCS 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]