实时图像自适应阈值边缘检测FPGA实现  

Adaptive Threshold Edge Detection of Real-Time Image Based on FPGA

作　　者：祁佳[1] 刘紫燕[1] 冯亮[1] 

机构地区：[1]贵州大学计算机科学与信息学院,贵州贵阳550025

出　　处：《仪表技术与传感器》2014年第9期81-83,共3页Instrument Technique and Sensor

基　　金：贵州省科学技术基金项目([2011]2193号);贵州大学自然科学青年基金项目(2010(035))

摘　　要：传统的Sobel边缘检测算子对噪声变化抑制能力较差,并且其使用固定阈值导致适应性差。该方法利用中值滤波思想来确定图像的每一像素点局部边缘阈值来实现自适应阈值Sobel边缘检测,并在FPGA平台实现。实验结果表明,该算法检测出的实时图像边缘更加精细,并且能很好地抑制背景噪声。The traditional Sobel operator is sensitive to noise and lack of adaptability for its fixed threshold. This paper calcu- lated local threshold of each pixel by using median filtering to meet the demand of self-adaptive computation, then implemented it on FPGA. The results demonstrate that the proposed method has better performance, of which the image edge is clearer and the background noise is filtered as welt.

关 键 词：自适应阈值 快速中值滤波 FPGA SOBEL 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]