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An Automatic Target Recognition Algorithm Based on Image Matching with Multiple Sub Templates

机译:基于多个子模板图像匹配的目标自动识别算法

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The paper presents an upgrade target recognition algorithm based on the analysis of normal template matching algorithm. The new algorithm firstly uses given template to generate sub templates at random or with certain principle, and then matches each sub templates in search image to get possible areas of target, lastly finds the target from comparison among the matching results. The paper at last gives the test results of the mentioned Algorithm. The results show: the new algorithm greatly improves the efficiency, real-time ability, precision of the normal algorithm, and also it has an advantage of easy realization, thus it is a good reference for solving the same problems.
机译:在分析普通模板匹配算法的基础上,提出了一种升级目标识别算法。新算法首先使用给定模板随机地或以一定原理生成子模板,然后对搜索图像中的每个子模板进行匹配以获得可能的目标区域,最后通过匹配结果之间的比较找到目标。最后给出了上述算法的测试结果。结果表明:新算法大大提高了常规算法的效率,实时性,精度,并且具有易于实现的优点,为解决相同问题提供了很好的参考。

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