计算机仿真
計算機倣真
계산궤방진
COMPUTER SIMULATION
2010年
2期
88-91
,共4页
豪斯多夫距离%分支点提取%景象匹配%加权豪斯多夫距离
豪斯多伕距離%分支點提取%景象匹配%加權豪斯多伕距離
호사다부거리%분지점제취%경상필배%가권호사다부거리
Hausdorff distance%Bifurcation extraction%Image matching%Weighted Hausdorff distance
由于传统Hausdorff距离算法对减少非零均值高斯噪声的干扰不明显,且匹配精度不能满足惯导的要求,因而提出了一种改进的算法分支点的加权Hausdorff距离(Weighted Hausdorff Distance,WHD)算法,并给出了权值的求取公式.方法能有效匹配被非高斯噪声污染的图像,提高景象匹配的精度和速度,增强算法的鲁棒性.并对提出的WHD算法与部分的平均距离算法(PMHD)分别作仿真实验进行比较,证明了前者算法的实用性和有效性.
由于傳統Hausdorff距離算法對減少非零均值高斯譟聲的榦擾不明顯,且匹配精度不能滿足慣導的要求,因而提齣瞭一種改進的算法分支點的加權Hausdorff距離(Weighted Hausdorff Distance,WHD)算法,併給齣瞭權值的求取公式.方法能有效匹配被非高斯譟聲汙染的圖像,提高景象匹配的精度和速度,增彊算法的魯棒性.併對提齣的WHD算法與部分的平均距離算法(PMHD)分彆作倣真實驗進行比較,證明瞭前者算法的實用性和有效性.
유우전통Hausdorff거리산법대감소비령균치고사조성적간우불명현,차필배정도불능만족관도적요구,인이제출료일충개진적산법분지점적가권Hausdorff거리(Weighted Hausdorff Distance,WHD)산법,병급출료권치적구취공식.방법능유효필배피비고사조성오염적도상,제고경상필배적정도화속도,증강산법적로봉성.병대제출적WHD산법여부분적평균거리산법(PMHD)분별작방진실험진행비교,증명료전자산법적실용성화유효성.
Due to reducing disturbing of nonzero Gauss noise is not evident with Traditional Hausdorff distance,and matching precision can not be applied to the inertial navigation,an improved approach weighted Hausdorff distance algorithm based on characteristic extraction is proposed,and the weighted formula is given.This approach can effectively match image which is stained by non-gauss noise,and enhance precision and speed of scene matching and robust of algorithm.Experimental results show the efficiency and practicability of this algorithm.
