基于PDE的金免疫层析试条图像去噪  

Noises removel of the gold immunochromatographic trip image based on PDE

作　　者：熊保平[1] 杜民[2] 高跃明[2] 

机构地区：[1]福建工程学院数理系,福建福州350108 [2]福建省医疗器械和医药技术重点实验室,福建福州350002

出　　处：《福州大学学报（自然科学版）》2016年第1期71-75,共5页Journal of Fuzhou University(Natural Science Edition)

基　　金：科技部港澳台科技合作项目(2012DFM30040)

摘　　要：由于金免疫层析试条的检测线非常细小,极易受到噪声和其它杂质的影响,从而导致检测线无法精确提取.为此,从金免疫层析试条图像特点出发,提出由图像x方向导数代替图像梯度的改进PDE去噪方法.实验结果表明,该改进方法在去除试条图像噪声的同时能更好地保护检测线边缘,为后续试条检测线的精确提取提供保障,使基于图像的精准定量检测成为可能.Gold immunochromatographic assay （GICA） provides an effective biomedical detective method. However, the test line of gold immunochromatographic trip（GICT） is very small and extreme- ly vulnerable to the disturbance of noise and other impurities, resulting in the failure in precise extrac- tion of GICT＇ s test line. The article presents an improved image denoising model of partial differential equations based on the image of the GICT, which use the derivatives of x direction instead of the image gradient. The experiments prove that the improved model tends to eliminate noise and protect the edge of test line, achieving the possibility of precise extraction of GICT＇ s test line and quantitative test on account of GICA image.

关 键 词：金免疫层析试条 检测线 图像去噪 偏微分方程 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] TP212.2[自动化与计算机技术—控制科学与工程]