计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
12期
167-170
,共4页
角度计算%Harris算法%L型角点%边缘梯度%高斯滤波%曲率
角度計算%Harris算法%L型角點%邊緣梯度%高斯濾波%麯率
각도계산%Harris산법%L형각점%변연제도%고사려파%곡솔
angle calculation%Harris algorithm%L-junction%edge gradient%Gaussian filtering%curvature
在识别图像中 L 型角点及计算其角度大小时，会检测出较多错误角点且角度计算误差较大。为此，提出一种融合图像边缘特征和灰度特征的 Harris 角度计算方法。利用高斯窗口内边缘线权重和，以边缘梯度的平均值替代边缘上的梯度，通过比值影响函数筛选出L型角点。采用加权平面近似灰度表面，使用有关像元的主曲率幅度值拟合加权，以这2种方式的角点响应函数值相等为条件，推导角度计算公式。实验结果表明，该方法可使角点误检率从24.6%降为3.3%，L型角点角度计算平均误差率从10.21%降为3.82%。
在識彆圖像中 L 型角點及計算其角度大小時，會檢測齣較多錯誤角點且角度計算誤差較大。為此，提齣一種融閤圖像邊緣特徵和灰度特徵的 Harris 角度計算方法。利用高斯窗口內邊緣線權重和，以邊緣梯度的平均值替代邊緣上的梯度，通過比值影響函數篩選齣L型角點。採用加權平麵近似灰度錶麵，使用有關像元的主麯率幅度值擬閤加權，以這2種方式的角點響應函數值相等為條件，推導角度計算公式。實驗結果錶明，該方法可使角點誤檢率從24.6%降為3.3%，L型角點角度計算平均誤差率從10.21%降為3.82%。
재식별도상중 L 형각점급계산기각도대소시，회검측출교다착오각점차각도계산오차교대。위차，제출일충융합도상변연특정화회도특정적 Harris 각도계산방법。이용고사창구내변연선권중화，이변연제도적평균치체대변연상적제도，통과비치영향함수사선출L형각점。채용가권평면근사회도표면，사용유관상원적주곡솔폭도치의합가권，이저2충방식적각점향응함수치상등위조건，추도각도계산공식。실험결과표명，해방법가사각점오검솔종24.6%강위3.3%，L형각점각도계산평균오차솔종10.21%강위3.82%。
For the problem of corner detection at L-junction in image and calculate the corner angle at L-junction, this paper proposes a new algorithm based on improved Harris to detect the corner at L-junction and calculate the corner angle at L-junction. The algorithm calculates the sum of the weight on each edge in differential coefficients window, and takes the average value of all the differential coefficients as the representative differential coefficient, and measures the principal curvature on the detected corners and through the ratio influence function identify the corner at l-junction. According to the calculated values of the response function from the above two steps, it calculates the corner angle at L-junction. Experimental results show that angle calculation algorithm based on Harris corner detection improves recognition accuracy rate from 24.6%to 3.3%, and calculates the corner angle at L-junction rate from 10.21%to 3.82%.
