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改进的Hough变换对油库目标识别
引用本文:李斌,尹东,袁勋,李桂芹.改进的Hough变换对油库目标识别[J].光电工程,2008,35(3):30-34.
作者姓名:李斌  尹东  袁勋  李桂芹
作者单位:中国科学技术大学,电子工程与信息科学系,合肥,230027
摘    要:油库是典型的感兴趣目标之一,大多数呈圆形.针对传统的基于Hough变换检测圆的算法存在计算量大、空间复杂度高等缺点,本文提出一种改进的梯度模糊Hough变换进行油库目标识别.算法首先利用梯度信息减少计算量,然后对边缘像素进行模糊映射,以减少峰值扩散和伪峰现象,最后针对Hough变换不考虑点之间的连通性的缺点设计去虚警算法.实验结果表明该方法计算量小,精度高,能准确定位圆心和半径,识别率达82.5%,虚警率为1.6%.

关 键 词:梯度模糊Hough变换  油库识别  最小外接矩形  区域增长  改进  Hough  Transform  变换对  油库  目标识别  Improved  Based  Method  虚警率  识别率  半径  圆心  准确定位  精度  方法  结果  实验  设计  连通性  峰现象
文章编号:1003-501X(2008)03-0030-05
收稿时间:2007/4/16
修稿时间:2007年4月16日

Oilcan Recognition Method Based on Improved Hough Transform
LI Bin,YIN Dong,YUAN Xun,LI Gui-qin.Oilcan Recognition Method Based on Improved Hough Transform[J].Opto-Electronic Engineering,2008,35(3):30-34.
Authors:LI Bin  YIN Dong  YUAN Xun  LI Gui-qin
Affiliation:LI Bin,YIN Dong,YUAN Xun,LI Gui-qin ( Department of Electronic Engineering , Information Science,University of Science , Technology of China,Hefei 230027,China )
Abstract:Traditional Hough transform for circle detection has several limitations,such as high computation and memory complexity. To solve these problems,we presented a modified Hough transform method based on gradient information and fuzzy theory. First,gradient information was utilized to reduce the computational complexity. Furthermore,edge points were mapped based on fuzzy theory to avoid peak diffusion and false peak. Finally,a post-processing algorithm was designed to remove the false alarms,since Hough transf...
Keywords:gradient fuzzy Hough transform (GFHT)  oilcan recognition  minimum enclosing rectangle  region grow  
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