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Hardware implementation of Modified Annular Ring Ratio for Blood Cell Detection in Thin Blood Smear Images

机译:薄血涂片图像中血细胞检测的改性环形环比的硬件实现

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Malaria continues to spread in endemic areas. This deadly disease is the subject of multiple researches in terms of patient diagnoses. Post treatment diagnoses are necessary to make sure that patients treated for malaria continue to be free from Plasmodium protozoan parasites. Fast and automated analyses are possible with image processing of blood cell samples. This paper proposes a modified version of an image processing algorithm named Annular Ring Ratio, which identifies and locates the blood cell present in the thin blood smear images, to make the algorithm amenable to efficient hardware implementation through the elimination of the costly division process. The Annular Ring Ratio process identifies circular shapes through the calculation of a ratio between two circular areas. With proper configuration it can detect cell and parasite positions leading to the identification of infected cells and further estimate the level of infections.
机译:疟疾继续在流行区域传播。这种致命的疾病是患者诊断方面多重研究的主题。后处理诊断是必要的,以确保为疟疾治疗的患者继续免于疟原虫原生动物寄生虫。通过血细胞样品的图像处理可以快速和自动分析。本文提出了名为环形环比的图像处理算法的修改版本,其识别和定位薄血涂片图像中存在的血细胞,以使算法通过消除昂贵的划分过程来实现高效的硬件实现。环形环比流程通过计算两个圆形区域之间的比率来识别圆形形状。具有适当的配置,可以检测细胞和寄生虫,导致感染细胞的鉴定,并进一步估计感染水平。

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