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Pre-processing of Image Affected by Contemporaneous Alterations for Surface Measurement of the Human Lymphocyte Micro-Nucleus

机译:受事相变化的图像对人淋巴细胞微核的表面测量影响的图像的预处理

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In order to improve the performance of the method based on the cascade of the pattern matching analysis and the blob analysis to recognize and evaluate the surface of the Micro Nucleuses (MNs) into human lymphocytes, the aspects concerning the detection and the correction of the image alterations are investigated. The random alterations considered are those introduced by the movement of the lymphocytes, the optical and the electronic components of the acquisition system of the flow cytometer. The correction method is pointed out in order to: (i) make the image able to be correctly processed by the cascade of the pattern matching analysis and the blob analysis, (ii) minimize the doubtful detections, (iii) enhance the confidence that in the rejected images can not be detected the MNs, and (iv) increase the accuracy of the surface evaluation of MN. Experimental tests confirm the fitness of the detection and the correction method.
机译:为了提高基于模式匹配分析的级联和BLOB分析来提高该方法的性能,以识别和评估微核(MNS)的表面(MNS)进入人淋巴细胞,关于图像的检测和校正的方面调查改变。所考虑的随机改变是由流式细胞仪的采集系统的淋巴细胞,光学和电子元件的运动引入的那些。指出校正方法以:(i)使得能够通过模式匹配分析的级联和BLOB分析来正确地处理图像,(ii)最小化令人怀疑的检测,(iii)增强令人信心拒绝的图像无法检测到MNS,并且(IV)提高MN的表面评估的精度。实验测试确认了检测的适应性和校正方法。

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