| 基于类高斯模型的显微图像固点噪声定位算法 |
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| 引用本文： | 王一刚,蒋刚毅,郁梅,彭宗举,范胜利,邵枫. 基于类高斯模型的显微图像固点噪声定位算法[J]. 光电工程, 2011, 38(11): 106-112. DOI: 10.3969/j.issn.1003-501X.2011.11.019 |
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| 作者姓名： | 王一刚 蒋刚毅 郁梅 彭宗举 范胜利 邵枫 |
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| 作者单位： | 1. 宁波大学信息科学与工程学院,浙江宁波315211;浙江大学宁波理工学院信息分院,浙江宁波315010
2. 宁波大学信息科学与工程学院,浙江宁波,315211 |
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| 基金项目： | 教育部博士点基金(200816460003,2009A610087); 宁波市自然科学基金(2011A610200,2010A610111,2010A601112) |
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| 摘 要： | 针对显微图像固点噪声的特点和技术要求,本文提出类高斯模型和相应的固点噪声检测方法.首先,利用显微图像序列的时间相关性,计算类高斯模型中图像序列相同位置像素彩色分量的均值和方差；然后,根据彩色分量均值图像用最大类间方差法计算彩色分量的自适应阈值,用均分法计算彩色分量方差的自适应阈值；再者,根据阈值对图像序列中的每个像素进...
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| 关 键 词： | 固点噪声 类高斯模型 显微图像 最大类间方差 自适应阈值 |
Fixed Noise Locating Algorithm Based on Quasi-Gaussian Model for Microscope Image |
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| WANG Yi-gang,JIANG Gang-yi,YU Mei,PENG Zong-ju,FAN Sheng-li,SHAO Feng. Fixed Noise Locating Algorithm Based on Quasi-Gaussian Model for Microscope Image[J]. Opto-Electronic Engineering, 2011, 38(11): 106-112. DOI: 10.3969/j.issn.1003-501X.2011.11.019 |
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| Authors: | WANG Yi-gang JIANG Gang-yi YU Mei PENG Zong-ju FAN Sheng-li SHAO Feng |
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| Affiliation: | WANG Yi-gang1,2,JIANG Gang-yi1,YU Mei1,PENG Zong-ju1,FAN Sheng-li1,SHAO Feng1 ( 1. Faculty of Information Science and Engineering,Ningbo University,Ningbo 315211,Zhejiang Province,China,2. Department of Information,Ningbo Institute of Technology,Zhejiang University,Ningbo 315010,China ) |
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| Abstract: | An adaptive algorithm based on quasi-Gaussian model is proposed for locating fixed noise in microscope image. Firstly, by considering temporal correlation of microscope image sequence, mean and variance of each color component for pixels at the same location in image sequence are computed. Secondly, the maximizing inter-class variance (OTSU) method is used to obtain three adaptive mean thresholds of color components. Meanwhile, three adaptive variance thresholds are acquired by averaging minimum variance an... |
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| Keywords: | fixed noise quasi-Gaussian model micro-image OTSU adaptive threshold |
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