针对光学图像中的抛物线目标特征检测问题,提出一种基于最小二乘法的抛物线检测方法。采用Canny边缘检测算子进行边缘提取,对提取到的边缘点采用最小二乘法确定抛物线方程的系数,通过对二次曲线施加抛物线约束,使得算法不需要经过迭代就能得到最优解,并对抛物线方程进行坐标变换推导,计算出抛物线的参数。仿真数据实验和实际图像的实验表明:该算法能够检测到光学图像中的抛物线目标特征,各个参数的计算精度均在98%以上。
Abstract
The parabola object feature detection of optical image is a difficult research topic in computer vision fields. A parabola feature detection algorithm based on the least square method is presented. Using Canny algorithm to detect edge, then the least square method is used to compute the coefficients of the parabola equation. The conic is constrained by parabola and the algorithm, so it can get the optimal solution without iteration computation. Finally the coordinate transformation of the parabola equation is computed and the parameters of parabola can be achieved. The experimental results of emulation data and real image show that our algorithm can efficiently detect the parabola object feature and compute the feature parameters in the optical image, and the calculation accuracy of each parameter is above 98%.
关键词
抛物线 /
最小二乘法 /
特征检测 /
二次曲线 /
光学图像
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Key words
parabola /
optical image /
conic /
least square /
feature detection
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参考文献
[1]周锋飞, 陈卫东, 李良福. 一种基于Canny边缘的红外与可见光图像配准算法[J]. 应用光学, 2009, 30(4): 605-609.
ZHOU Feng-fei, CHEN Wei-dong, LI Liang-fu. Canny edge based registration algorithm of IR and visible images[J].Journal of Applied Optics, 2009, 30(4): 605-609.(in Chinese with an English abstract)
[2]王丽丽, 胡中文, 季杭馨. 基于高斯拟合的激光光斑中心定位算法[J]. 应用光学, 2012, 33(5): 985-990.
WANG Li-li, HU Zhong-wen, JI Hang-xin. Laser spot center location algorithm based on Gaussian fitting[J]. Journal of Applied Optics, 2012, 33(5): 985-990.(in Chinese with an English abstract)
[3]周志峰. 一种正六边形检测方法的研究[J]. 应用光学, 2012, 33(1): 130-133.
ZHOU Zhi-feng, Visual detection of regular hexagon[J]. Journal of Applied Optics, 2012, 33(1): 130-133.(in Chinese with an English abstract)
[4]HU Wei-ming, TAN Tie-niu, WANG Liang, et al. A survey on visual surveillance of object motion an
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脚注
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