首页> 外文期刊>Clinical Chemistry: Journal of the American Association for Clinical Chemists >Spot identification in two-dimensional patterns by a least-squares template matching.
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Spot identification in two-dimensional patterns by a least-squares template matching.

机译:通过最小二乘模板匹配在二维模式下发现识别。

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The coordinates of the center of measured spots are nonlinearly transformed to get an optimal match between the transformed coordinates and the given coordinates of a reference pattern. The parameters of the transformation are determined by the minimum of a function of squared distances between all spots of the sample and of the reference pattern. The algorithm requires a priori defined correspondences between some pivot points in the sample and the reference and treats their distances differently from the others. The parameters of the transformation are the solutions of a system of nonlinear equations; their numerical values are obtained by iteration.
机译:测量斑点的中心的坐标是非线性变换的,以在转换的坐标和参考图案的给定坐标之间获得最佳匹配。变换的参数由样本和参考图案的所有斑点之间的平方距离的最小值确定。该算法需要在样本中的一些枢轴点之间的先验定义对应关系,并将其与其他枢轴分别处理它们的距离。变换的参数是非线性方程系统的解;它们的数值通过迭代获得。

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