基于PCR凝胶成像的信息自动提取

Auto-extraction Techniques of Information Based on PCR Gelation Image

在 PCR凝胶成像及定量分析系统中 ,为了正确检测出 PCR产物 ,以便于对被检测者的病理状况作出准确的分析和处理 ,介绍了一种多聚酶链反应 (PCR)成像信息的自动提取方法 .该方法首先用高斯平滑滤波和灰度信息进行水平方向的投影 ,以抵抗光照不均的影响 ,得到 PCR扩增时所在的泳道 ;之后对每个泳道信息进行高斯平滑滤波和灰度的垂直投影 ,以抵抗 PCR条带信息的强弱不均的影响和移动模糊的影响 ,准确地抽取出条带区域 ;最后 ,通过局部校正来提高所圈定条带区域的精确度 .实验结果表明 ,此方法可正确检测出 PCR产物 。

In the quantitative analysis of PCR gelation images system, in order to detect PCR correctly and make more accurate diagnosis of pathological situation of the person detected, a method to extract information automatically from PCR images is presented in this paper. Firstly, Gaussian filter and horizontal projection of PCR images' gray information are used to resist the effect of non uniform distribution of brightness and gain the position of the pervasive PCR. Here, a key step is to select a adaptable parameter value for the Gaussian filter. Then, the method uses smooth filtering and vertical projection to reduce the influence caused by the non uniform and moving illegibility of the PCR bands, and then extract PCR band areas accurately. Finally, it makes use of local rectification to improve the precision of the enclosed band. In practice, this method is applied to the PCR image processing and promising results are obtained. The experiment result indicates that with the PCR image been detected accurately, subsequent diagnosis and analysis can achieve fairly efficiency, so the method is of very significant practicality.