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Method for moving cell detection from temporal image sequence model estimation
Method for moving cell detection from temporal image sequence model estimation
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机译:基于时间图像序列模型估计的运动细胞检测方法
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摘要
A computerized robust cell kinetic recognition method for moving cell detection from temporal image sequence receives an image sequence containing a current image. A dynamic spatial-temporal reference generation is performed to generate dynamic reference image output. A reference based object segmentation is performed to generate initial object segmentation output. An object matching and detection refinement is performed to generate kinetic recognition results output. The dynamic spatial-temporal reference generation step performs frame look ahead and the reference images contain a reference intensity image and at least one reference variation image.
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