首页> 外文会议>2012 7th International Conference on Computing and Convergence Technology >Detection and summation of pus cells and epithelial cells for sputum quality grading using K-Means clustering and color thresholding
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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-Means聚类和颜色阈值检测和总结脓细胞和上皮细胞的痰液质量分级

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摘要

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:高质量的痰对许多疾病的诊断很重要。根据巴特利特标准,应考虑某些因素,例如嗜中性白细胞(pus细胞)的数目,鳞状上皮细胞和肉眼可见的外观,以确定痰液的质量。因此,开发了能够检测和计数脓细胞和上皮细胞的存在以进行痰质量检测的视觉系统。该视觉系统为每个痰液样本处理四个痰液图像,并确定该样本中脓液和上皮细胞的平均数量。该系统还能够确定痰液样本是阳性还是阴性。脓细胞平均数的误差百分比为26.3%,而上皮细胞的误差为27.78%。但是,痰液样本的最终分级是阳性还是阴性都是100%准确的。

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