一种基于模板匹配的亚像素椭圆检测算法
A Sub-Pixel Ellipse Detection Algorithm Based on Improved Template Matching
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摘要: 针对熊猫光纤端面图像识别,提出了一种亚像素椭圆特征检测方法.通过参数分离和精度逐级递增的模板匹配,将算法的时间复杂度降低为O((log n)2).经实验检验,在低噪声环境下,该算法检测平均误差低于0.04像素;在高噪声和图像不完整的情况下,检测平均误差仍低于0.07像素.Abstract: This paper presents a sub-pixel ellipse detection algorithm on image identification of panda fiber endface.Using parameter separation and precision progressive increase method,the time complexity of the algorithm could be decreased to O((log n)2).The average detection error of this algorithm is less than 0.04pixel under low noise image.This number will increase to 0.07pixel under the case of high noise and incomplete ellipse.
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