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基于最优多级阈值的dna微阵列图像子网格和斑点检测Sub-grid and Spot Detection in DNA Microarray Images using Optimal Multi-level Thresholding |
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| 课程网址: | http://videolectures.net/prib2010_rueda_ssdm/ |
| 主讲教师: | Luis Rueda |
| 开课单位: | 温莎大学 |
| 开课时间: | 2010-10-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The analysis of DNA microarray images is a crucial step in gene expression analysis, since any errors in early stages are propagated in future steps in the analysis. When processing the underlying images, accurately separating the sub-grids and spots is of extreme importance for subsequent steps that include segmentation, quantification, normalization and clustering. We propose a fully automatic approach that first detects the sub-grids given the entire microarray image, and then detects the locations of the spots in each sub-grid. The approach first detects and corrects rotations in the images by an affine transformation, followed by a polynomial-time optimal multi-level thresholding algorithm to find the positions of the sub-grids and spots. Additionally, a new validity index is proposed in order to find the correct number of sub-grids in the microarray image, and the correct number of spots in each sub-grid. Extensive experiments on real-life microarray images show that the method performs these tasks automatically and with a high degree of accuracy. |
| 关 键 词: | 微阵列图像; 仿射变换检测; 阈值算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-14：lxf |
| 阅读次数: | 33 |