中文摘要：

大多数已有应用都采用简单算法对图像进行整体处理，在去除噪声的同时也破坏了图像边缘和细节信息．为解决这一问题，首先分析了不同类型噪声对网格定位的影响，提出用分割线和面积均方根误差进行定量评价．然后提出用数学形态学与最大类间方差结合的方法去除高亮噪声．最后将该算法应用于出生缺陷的基剀芯片噪声处理，并与其他几种去噪方法做了对比．实验结果表明，该算法实用、有效，并能最大限度地保留图像的有用信息．

英文摘要：

Most existing methods employ simple algorithms to process images, and they are effective to suppress image noise, however, the useful edge and detailed signal information of the image are also destroyed. To resolve this problem, the effect of different noises on gridding is analyzed firstly, and the grid line number and area root-mean-square （RMS） error are put forward as indices to realize the quantitive evaluation. Then the mathematical morphology algorithm is combined with maximum-between-clusters-variance method to suppress the highly fluorescent noise. The proposed algorithm is applied to denoising DNA microarray images with birth defect and compared with other conventional methods. Experiment results confirm that the oresented method is oracticable and efficient, and has good ability to reserve useful information.