| 基于顺序形态变换的生物芯片图像网格化 |
| |
| 引用本文： | 付东翔,马军山,陈家璧,庄松林.基于顺序形态变换的生物芯片图像网格化[J].光学技术,2006,32(6):912-915. |
| |
| 作者姓名： | 付东翔 马军山 陈家璧 庄松林 |
| |
| 作者单位： | 1. 上海理工大学,光学与电子信息学院,上海,200093;上海理工大学,计算机工程学院,上海,200093
2. 上海理工大学,光学与电子信息学院,上海,200093 |
| |
| 基金项目： | 上海市教委资助项目
,
上海市教委资助项目
,
上海市重点学科建设项目 |
| |
| 摘 要： | 生物芯片图像网格化是对由生物芯片扫描得到的荧光成像中的信号(Foreground)和背景(Background)进行划分,以便提取各点的吸光度值、面积和吸光度比等荧光点的数据。网格化的准确与否决定了数据提取的正确性。提出了一种运用顺序形态变换理论实现生物芯片荧光图像网格化的方法,通过对百分位值在0~1之间的顺序形态进行变换,可实现像素灰度的极小值、中间值等多刻度值的灰度取值运算。理论分析表明,该算法能够识别信号与背景的边界,可去除噪声等非边界信息,能判断信号区域,可确定荧光点的边界和范围,可实现荧光点阵图像的网格化。试验结果表明,该算法对不同信噪比的荧光图像来说有很强的适应性,可用于高密度生物芯片图像的处理。
|
| 关 键 词： | 顺序形态学 生物芯片 网格化 |
| 文章编号： | 1002-1582(2006)06-0912-04 |
| 收稿时间： | 2005/9/29 |
| 修稿时间： | 2005年9月29日 |
Microarray gridding based on order morphology transform |
| |
| FU Dong-xiang,MA Jun-shan,CHEN Jia-bi,ZHUANG Song-lin.Microarray gridding based on order morphology transform[J].Optical Technique,2006,32(6):912-915. |
| |
| Authors: | FU Dong-xiang MA Jun-shan CHEN Jia-bi ZHUANG Song-lin |
| |
| Abstract: | Gridding of fluorescence image of microarray is to identify foreground and background of fluorescence spots.Absorbency,area and absorbency ratio of each fluorescence spot can be operated after gridding.So it is important that result of gridding is accurate.A algorithm is proposed to process and grid microarray by order morphology transform.Multi-scale pixel gray operations are done with different percent which belong to .It is proved that scope and boundary of fluorescence spots can be found by analyzing profile of grayscale.Then vertical and horizontal grids are located.Data analysis and experiments show that the way is adaptive and robust to different SNR fluorescence image of microarray,especially high density micoarray. |
| |
| Keywords: | order morphology microarray gridding |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
