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血液学图像数据的快速分析:ADC - 500预处理器

Rapid analysis of hematology image data: the ADC-500 preprocessor.

作者信息

Green J E

出版信息

J Histochem Cytochem. 1979 Jan;27(1):174-9. doi: 10.1177/27.1.374572.

Abstract

A sequential, pipeline processor (that we have named the ADC-500 preprocessor) has been developed which scene segments the three color image data from the ADC-500 optics one image element at a time, groups together image elements from each object in the scene and extracts features from each object. The processing occurs at television frame rates, requiring 16.7 msec to process the entire image. This speed was instrumental in allowing the ADC-500 automated differential analyzer to perform routine 500-cell differentials. The preprocessor also contains hardware which simplifies compilation of the three color histograms. The segmentation algorithms implemented in the preprocessor are multicolor extensions of the classical monochrome density histogram threshold method. For most cell image analysis tasks, a sequential pipeline processor of this type should be more economical and as fast or faster than a parallel processor.

摘要

已开发出一种顺序流水线处理器(我们将其命名为ADC - 500预处理器),它一次对来自ADC - 500光学器件的三色图像数据的一个图像元素进行场景分割,将场景中每个物体的图像元素组合在一起,并从每个物体中提取特征。处理以电视帧率进行,处理整个图像需要16.7毫秒。这种速度有助于使ADC - 500自动微分分析仪能够进行常规的500细胞微分分析。预处理器还包含简化三色直方图编译的硬件。预处理器中实现的分割算法是经典单色密度直方图阈值方法的多色扩展。对于大多数细胞图像分析任务,这种类型的顺序流水线处理器应该比并行处理器更经济,且速度相当或更快。

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