Cell Counting Algorithm Using Radius Variation, Watershed and Distance Transform
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초록
This study proposed the structure of the cluster's cell counting algorithm for cell analysis. The image requiredfor cell count is taken under a microscope. At present, the cell counting algorithm is reported to have a problemof low accuracy of results due to uneven shape and size clusters. To solve these problems, the proposedalgorithm has a feature of calculating the number of cells in a cluster by applying a radius change analysis tothe existing distance conversion and watershed algorithm. Later, cell counting algorithms are expected to yieldreliable results if applied to the required field.
Abstract
This study proposed the structure of the cluster's cell counting algorithm for cell analysis. The image requiredfor cell count is taken under a microscope. At present, the cell counting algorithm is reported to have a problemof low accuracy of results due to uneven shape and size clusters. To solve these problems, the proposedalgorithm has a feature of calculating the number of cells in a cluster by applying a radius change analysis tothe existing distance conversion and watershed algorithm. Later, cell counting algorithms are expected to yieldreliable results if applied to the required field.
참고문헌 (11)
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