基于投影算法的微阵列图像自动识别

Y. Liu, Yong-de Zhang, Xianzheng Sha
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引用次数: 1

摘要

为了自动定位微阵列图像中的斑点,我们将投影算法与统计理论相结合,使网格无缺失和冗余。改进后的算法可以估计出斑点的半径,这是分割中的一个重要参数。使用自适应阈值对图像进行分割,使用自动生成的磁盘模板进行斑点检测。因此,该方法不仅适用于理想图像,而且适用于含有较多负点的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Recognition of Microarray Images Using Projection Algorithm
To locate the spots in microarray images automatically, we combine the projection algorithm with statistic theory, making the gridding without absence and redundancy. The radius of spots could be estimated based on the improved algorithm, which is an important parameter in segmentation. Adaptive threshold is used to segment the image, and disk template generated automatically is used to detect the spots. The positive and weak spots could be detected correctly, so the methods are not only for the ideal images, but also for the images with many negative spots.
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