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A New Watershed Algorithm for Cellular Image Segmentation Based on Mathematical Morphology

机译:一种基于数学形态学的蜂窝图像分割新分水岭算法

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A new watershed algorithm based on mathematical morphology is proposed and applied to cellular image segmentation. The improvement segmentation method of the watershed algorithm based on the marker introduce the idea of morphological reconstruction during the pretreatment, at the same time, use a relatively new method of coercing calibration of the minimum in the watershed transform. With the original method of simulation experiments, the method can be more accurate segmentation results. Compared with other tradition methods, requires fewer computations and simpler parameters and can more efficiently reduce the over-segmentation of the watershed algorithm.
机译:提出了一种基于数学形态学的新分水岭算法,并应用于蜂窝图像分割。基于标记物的流域算法的改进分割方法介绍了在预处理中的形态重建的思想,同时使用相对较新的方法在流域变换中施加最小的校准。利用原始模拟实验方法,该方法可以更准确的分割结果。与其他传统方法相比,需要更少的计算和更简单的参数,并且可以更有效地降低流域算法的过分分割。

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