摘要
目的 介绍了一种用于精确提取目标中已知形状的轮廓线参数的方法 .方法 采用中值滤波和一阶微分期望值算法相结合的方法 .结果 较精确地获取了目标轮廓线参数 .结论 实验证明 ,本方法能够有效地消除图像中的噪声和大的斑点干扰 ,达到了亚像素精度 .它便于用作实时检测 .
Aim\ To present a method used in extracting contour parameters accurately under the object shape known. Methods\ Median filter and expectation of first-order derivative algorithms are used. Results\ The parameters of contour are extracted accurately. Conclusion\ The result shows that this method can remove the noise and the big flecks effectively in the gray-image and provide subpixel precision. It can be easily used for real time detection.
出处
《测试技术学报》
2001年第1期6-10,共5页
Journal of Test and Measurement Technology
关键词
轮廓线参数
图像处理
精确提取目标
moments
mathematical expectations
marginal information
median filter
subpixel precision
