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Detection and summation of pus cells and epithelial cells for sputum quality grading using K-Means clustering and color thresholding

机译:使用K-MERIAL聚类和颜色阈值测量的痰液质量分级的脓细胞和上皮细胞的检测和总和

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Sputum with good quality is important in the diagnosis of many diseases. Some factor like the number of neutrophils (pus cell), squamous epithelial cell and the appearance of macroscopic should be considered to determine the sputum quality based on Bartlett's Criteria. Hence, a vision system which is able to detect and count the existence of pus cell and epithelial cell for sputum quality testing is developed. This vision system process four sputum image for each sputum sample and determine the average number of pus cells and epithelial cells in that sample. This system also able to determine either the sputum sample is positive or negative. The percentage of error for average number of pus cell is 26.3% whereas error for epithelial cell is 27.78%. However, the final grading of either the sputum sample is positive or negative is 100% accurate.
机译:质量良好的痰对于许多疾病的诊断是重要的。 应考虑一些类似嗜中性粒细胞(PUS细胞),鳞状上皮细胞和宏观的外观的因素,以确定基于Bartlett标准的痰质。 因此,开发了一种能够检测和计数PUS细胞的存在和用于痰液质量测试的上皮细胞的视觉系统。 该视觉系统处理每个痰样品的四个痰图像,并确定该样品中的脓细胞的平均数量和上皮细胞。 该系统还能够确定痰样品是正的或阴性的。 平均脓细胞数的误差百分比为26.3%,而上皮细胞的误差是27.78%。 然而,痰样品的最终分级为阳性或阴性为100%精确。

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