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边缘图像连通区域标记的算法研究和SoPC实现
引用本文:谢昭莉,彭琴,白颖杰.边缘图像连通区域标记的算法研究和SoPC实现[J].电子技术应用,2011,37(3):35-37,41.
作者姓名:谢昭莉  彭琴  白颖杰
作者单位:重庆大学,自动化学院,重庆,400030
摘    要:针对二值边缘图像目标点较少的特点,提出了基于目标像素邻域的8方向生长区域标记算法.该算法充分利用了边缘图像的走向信息,提高了搜索效率,降低了堆栈空间消耗,消除了邻域反复扫描问题.

关 键 词:连通区域标记  边缘图像  区域生长  区域合并  SoPC

Algorithm research and SoPC implementation of connected component labeling of edge image
Xie Zhaoli,Peng Qin,Bai Yingjie.Algorithm research and SoPC implementation of connected component labeling of edge image[J].Application of Electronic Technique,2011,37(3):35-37,41.
Authors:Xie Zhaoli  Peng Qin  Bai Yingjie
Affiliation:Xie Zhaoli,Peng Qin,Bai Yingjie(College of Automation,Chongqing University,Chongqing 400030,China)
Abstract:For binary edge image has less target pixels,an 8-directions growth region labeling algorithm based on target pixel's neighborhood is proposed.This algorithm makes full use of the edge image's tendency information,improves search efficiency,reduces the consumption of stack space,and eliminates the neighborhood repeatedly scanning problem.
Keywords:SoPC
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