一种对比度增强的边缘检测改进算法及FPGA实现  

Improved Edge Detection Algorithm of Contrast-enhancement Based on FPGA

作　　者：刘紫燕[1] 祁佳[1] 唐思腾 徐跃州 冯亮[1] 

机构地区：[1]贵州大学电子信息学院,贵州贵阳550025

出　　处：《电视技术》2014年第15期98-101,共4页Video Engineering

基　　金：贵州省科学技术基金项目([2011]2193号)

摘　　要：传统的Sobel实时图像边缘检测算法对光照条件敏感,因此在进行边缘检测时常会有虚假边缘以及遗漏边缘的现象。将采集到的实时灰度图像进行中值滤波,再进行对比度增强来调整图像灰度值,将进行对比度增强后的图像进行Sobel边缘检测并在FPGA上实现。实验结果表明,采用对比度增强改进的边缘算法检测的边缘更加准确,抑制背景噪声能力更强。The traditional Sobel real-time image edge detection algorithm is sensitive to light conditions, so the false edges and missive edges are found when the Sobel algorithm is used for real-time image edge detection. In this paper, the median filtering is used for real-time gray-scale image to filtering the background noise, then the contrast-enhancement is used for enhancing the contrast of real-time gray-scale image. The Sobel algorithm is used for the final real-time gray-scale image to detect the real-time image edge. Finally the improved edge detection algorithm of contrast-enhancement is implemented on FPGA. The experimental results show that the edge detected by the improved edge detection algorithm of contrast-enhancement is more accurate, and the background noise is filtered as well.

关 键 词：对比度 中值滤波 SOBEL FPGA 边缘检测 

分 类 号：TP216.1[自动化与计算机技术—检测技术与自动化装置]