一种基于先验标记特征的精准图像配准算法

doi:10.3969/j.issn.1000-5641.2021.03.008

华东师范大学学报（自然科学版） ›› 2021, Vol. 2021 ›› Issue (3): 65-77.doi: 10.3969/j.issn.1000-5641.2021.03.008

一种基于先验标记特征的精准图像配准算法

刘天弼(), 冯瑞*()

复旦大学计算机科学技术学院, 上海　201203

收稿日期:2020-04-28 出版日期:2021-05-25 发布日期:2021-05-26
通讯作者: 冯瑞 E-mail:allenlew@163.com;fengrui@fudan.edu.cn
作者简介:刘天弼, 男, 博士研究生, 研究方向为计算机视觉及人工智能. E-mail: allenlew@163.com
基金资助:
国家重点研发计划（2017YFC0803702）

An algorithm for precise image registration based on priori mark features

Tianbi LIU(), Rui FENG*()

School of Computer Science and Technology, Fudan University, Shanghai　201203, China

Received:2020-04-28 Online:2021-05-25 Published:2021-05-26
Contact: Rui FENG E-mail:allenlew@163.com;fengrui@fudan.edu.cn

摘要/Abstract

摘要：

基因测序仪在读取基因序列之前需要将镜头与基因芯片精准对齐, 提出了一种能够精确地计算视场（Field of View, FOV）与理想位置偏差的算法. 预先在基因芯片上的特定位置设置标记, 通过拍摄的图像分析视场与基因芯片的位置误差: 首先, 提取图像灰度特征捕捉标记位置以初步对齐视场中心位置; 其次, 捕捉标记上的多个关键点的坐标; 最后, 对关键点的坐标映射关系进行拟合, 即可计算出精确的坐标和角度偏差. 实践和实验分析表明, 使用设计的图像配准算法能够实现对视场与基因芯片间位置偏差计算的高精度估计.

关键词: 图像配准, 位置校准, 基因芯片

Abstract:

The use of a gene sequencer requires that the lens and gene chip are aligned accurately before base-calling. We propose an algorithm to calculate the deviation of the field of view (FOV) from the ideal position. Marks are set at locations on the gene chip in advance, so that the deviation in position of the lens relative to the gene chip can be analyzed. Firstly, the marked locations are captured by extracting grayscale features of the image to initially align the center of the FOV; secondly, the coordinates for multiple key points on the marks are captured; and finally, the location and angle deviations are calculated by mapping coordinates for the key points. Practical and experimental analysis show that the image registration algorithm designed in this paper can achieve a high-precision estimate for the position deviation between the FOV and the gene chip.

Key words: image registration, position calibration, gene chip

中图分类号:

TP391.7

刘天弼, 冯瑞. 一种基于先验标记特征的精准图像配准算法[J]. 华东师范大学学报（自然科学版）, 2021, 2021(3): 65-77.

Tianbi LIU, Rui FENG. An algorithm for precise image registration based on priori mark features[J]. Journal of East China Normal University(Natural Science), 2021, 2021(3): 65-77.

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仪器分辨率/像素	cell大小/像素	亮度串扰/%	track宽度/像素	track数量/个		位置误差/像素	角度误差/(°)
仪器分辨率/像素	cell大小/像素	亮度串扰/%	track宽度/像素	横向	竖向	位置误差/像素	角度误差/(°)
2 560 × 2 160	9 × 9	15	9	8	8	0.243 1	0.010 882
2 560 × 2 160	6 × 6	10	6	8	8	0.274 6	0.012 292
5 012 × 5 012	9 × 9	20	9	9	9	0.284 9	0.006 376
5 012 × 5 012	6 × 6	15	6	9	9	0.330 5	0.007 397

一种基于先验标记特征的精准图像配准算法

An algorithm for precise image registration based on priori mark features

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