计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
9期
1-4
,共4页
机器视觉%椭圆识别%主元分析%轮廓度误差%异方差变量含误差
機器視覺%橢圓識彆%主元分析%輪廓度誤差%異方差變量含誤差
궤기시각%타원식별%주원분석%륜곽도오차%이방차변량함오차
machine vision%ellipse recognition%Principal Components Analysis(PCA)%profile error%Heteroscedastic Errors-in-Variable(HEIV)
提出结合主元变换与异方差变量含误差模型的椭圆识别与定位方法。根据椭圆长轴对应于椭圆主元方向的特点，利用主元变换法将目标边缘数据变换到主元坐标系，给出新的椭圆轮廓度误差评定方法，将变换后数据点集的椭圆轮廓度误差作为椭圆识别的依据，采用基于异方差变量含误差模型的拟合算法获取椭圆的中心坐标。该方法将任意椭圆转化为标准型椭圆，简化了识别过程，考虑到椭圆数据点的异方差特性，提高了椭圆的定位精度，在噪声方差为0.05情况下，定位精度小于0.04 pixel。
提齣結閤主元變換與異方差變量含誤差模型的橢圓識彆與定位方法。根據橢圓長軸對應于橢圓主元方嚮的特點，利用主元變換法將目標邊緣數據變換到主元坐標繫，給齣新的橢圓輪廓度誤差評定方法，將變換後數據點集的橢圓輪廓度誤差作為橢圓識彆的依據，採用基于異方差變量含誤差模型的擬閤算法穫取橢圓的中心坐標。該方法將任意橢圓轉化為標準型橢圓，簡化瞭識彆過程，攷慮到橢圓數據點的異方差特性，提高瞭橢圓的定位精度，在譟聲方差為0.05情況下，定位精度小于0.04 pixel。
제출결합주원변환여이방차변량함오차모형적타원식별여정위방법。근거타원장축대응우타원주원방향적특점，이용주원변환법장목표변연수거변환도주원좌표계，급출신적타원륜곽도오차평정방법，장변환후수거점집적타원륜곽도오차작위타원식별적의거，채용기우이방차변량함오차모형적의합산법획취타원적중심좌표。해방법장임의타원전화위표준형타원，간화료식별과정，고필도타원수거점적이방차특성，제고료타원적정위정도，재조성방차위0.05정황하，정위정도소우0.04 pixel。
A method of ellipse detection and location based on Principal Components Analysis(PCA)and Heteroscedastic Errors-in-Variable(HEIV)is proposed. According to the fact that major axis of an ellipse is the direction of principal com-ponents, the data points are projected on the coordinate frame of principal axis using PCA. A new evaluation method for elliptical profile error is proposed, and the ellipse objects are recognized according to the elliptical profile error of the data points after translation. An ellipse fitting method based to the HEIV model is applied to realizing the precision locating of the ellipse objects. The method simplifies the process of ellipse detection by translating arbitrary ellipse to standard one, and improves the location precision in view of the heteroscedastic performance of data points. The location precision is less than 0.04 pixel when the noise variance is 0.05.
