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Improved method of rotation invariant template matching using ROC

机译:使用ROC的旋转不变模板匹配的改进方法

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The orientation code is a quantization of pixel gradient orientation. It has the most important characteristic of illumination invariant and has become an important template matching method. In order to improve accuracy and real time ability of the original algorithm, we present a new conception of relative orientation code (ROC), and design template matching method based on the ROC. This method first selects candidate target points using histogram matching, then calculate the rotation angle of candidate sub-image and rotate the sub-image, and finally match the in the sub-image. The experiment shows that this method is robust when the image is rotated by any angle. The candidate points are selected and matched accurately. The computing time is less than the original method.
机译:方向码是像素梯度方向的量化。它具有光照不变性的最重要特征,已成为一种重要的模板匹配方法。为了提高原始算法的准确性和实时性,提出了一种新的相对方位代码(ROC)概念,并提出了一种基于ROC的设计模板匹配方法。该方法首先使用直方图匹配选择候选目标点,然后计算候选子图像的旋转角度并旋转子图像,最后在子图像中进行匹配。实验表明,该方法在图像旋转任意角度时均具有较好的鲁棒性。候选点被正确选择和匹配。计算时间少于原始方法。

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