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基于小波多尺度分析与GVF Snake的空中目标提取
引用本文:黄志彦,曹春红,徐剑.基于小波多尺度分析与GVF Snake的空中目标提取[J].电光与控制,2002,9(4):32-35.
作者姓名:黄志彦  曹春红  徐剑
作者单位:1. 空军工程大学工程学院,陕西,西安,710038
2. 吉林工学院,吉林,长春,130012
摘    要:提出一种新的空中目标提取和识别方法。该方法在运用Bubble小波对图像进行多尺度分析的基础上,引入梯度矢量流蛇形曲线方法对空中目标轮廓进行提取,以实现对空中目标的识别。实验表明这种方法在边缘对噪声有较好的鲁棒性和较精确的边缘定位精度。

关 键 词:空中目标  Snake模型  梯度矢量流  小波函数  多尺度分析  图像识别
文章编号:1671-637X(2002)04-0032-04

Detection and recognition of aerial targets based on the Bubble wavelet function and GVF Snake model
HUANG Zhi yan ,CAO Chun hong ,XU Jian.Detection and recognition of aerial targets based on the Bubble wavelet function and GVF Snake model[J].Electronics Optics & Control,2002,9(4):32-35.
Authors:HUANG Zhi yan  CAO Chun hong  XU Jian
Affiliation:HUANG Zhi yan 1,CAO Chun hong 2,XU Jian 1
Abstract:In this paper, a new method for the detection and recognition of aerial targets is presented.Based on wavelet multi scale analysis using Bubble wavelet function, GVF Snake model is introduced to detect the contour of aerial target. Expriments proved that the method is robust to noise at the edge and has better edge orientation precision.
Keywords:aerial target  Snake model  Gradient Vector Flow(GVF)  Bubble wavelet function  multi  scale analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
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