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A Combined Method for Concentric Circles Detection in Image of O-shape Rubber Ring

机译:O形橡胶环图像中同心圆检测的组合方法

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Traditional Hough transform (HT) methods based on parameters decomposition do not give good result for concentric circle detection, for the reasons of its large amount of calculations, high demand of storage space and low efficiency in real-time application. To compensate the weaknesses, this paper employs a kind of improved Hough transform method which aims at reducing the parameters space. In this paper, the detection method is further improved through adding an edge detection procedure based on global threshold. The experimental results show that this algorithm meets the on-line detection of high accuracy requirement, with superior real-time performance and stronger anti-interference ability.
机译:基于参数分解的传统Hough变换(HT)方法不给出同心圆检测的良好结果,因为其大量计算的原因,存储空间的高需求和实时应用中的低效率。为了补偿弱点,本文采用了一种改进的霍夫变换方法,旨在减少参数空间。在本文中,通过基于全局阈值添加边缘检测过程,进一步提高了检测方法。实验结果表明,该算法符合高精度要求的在线检测,具有卓越的实时性能和更强的抗干扰能力。

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