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计算机系统应用英文版:2014,23(1):114-118

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K-means聚类数的确定及在细胞图像颜色校正中的应用

罗丽丽¹, 蔡坚勇^1,2,3,4, 蔡荣太^1,3, 林李金¹, 蔡娟¹

(1.福建师范大学光电与信息工程学院, 福州 350007;2.福建师范大学医学光电科学与技术教育部重点实验室, 福州 350007;3.福建师范大学福建省光子技术重点实验室, 福州 350007;4.福建师范大学智能光电系统工程研究中心, 福州 350007)

Determination of Number of Clusters in K-means and Application in Color Correction of Cell Image

LUO Li-Li¹, CAI Jian-Yong^1,2,3,4, CAI Rong-Tai^1,3, LIN Li-Jin¹, CAI Juan¹

(1.College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China;2.Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou 350007, China;3.Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China;4.Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China)

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本文已被：浏览 1508次下载 2613次
Received:July 10, 2013 Revised:August 19, 2013

中文摘要: 针对大量瑞氏染色细胞图像, 通过YCbCr颜色空间进行K-means聚类, 观察各分量聚类中心差值变化规律, 提出了一种新的确定K-means聚类数的颜色校正算法。该算法首先是将瑞氏染色细胞图像中不同目标分别准确地聚集在相应类当中, 再与标准图像中的每类进行配比, 并利用直方图规定化进行直方图调整, 得到颜色校正结果。经大量实验证明, 尤其在细胞图像中目标颜色特征较接近的情况下, 该算法通过确定合适的聚类数可大大提高颜色校正结果的准确率。

中文关键词: K-means 中心差值聚类数颜色校正准确率

Abstract:To observe the changing rule of clustering center’s value in K-means by the YCbCr color space, against a lot of cell image by Wright Stain, this paper proposed a new method to determine the number of clusters in K-means to get a good result of color correction. Different target of cell image could be firstly gathered in the corresponding class accurately, then by matching between classes, and using histogram specification for adjusting histogram, the results of color correction could at last be achieved. It has been proved by many experiments that this algorithm can greatly improve the accuracy of color correction results, especially the target with closer color features in cell.

keywords: k-means center’s value number of clusters color correction accuracy

文章编号： 中图分类号： 文献标志码：

基金项目:福建省高校产学合作科技重大项目（2011H6010）；国家自然科学基金（61179011）

Author Name	Affiliation
LUO Li-Li	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
CAI Jian-Yong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China
CAI Rong-Tai	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China
LIN Li-Jin	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
CAI Juan	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China

Author Name	Affiliation
LUO Li-Li	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
CAI Jian-Yong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China
CAI Rong-Tai	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China
LIN Li-Jin	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
CAI Juan	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China

引用文本：
罗丽丽,蔡坚勇,蔡荣太,林李金,蔡娟.K-means聚类数的确定及在细胞图像颜色校正中的应用.计算机系统应用,2014,23(1):114-118
LUO Li-Li,CAI Jian-Yong,CAI Rong-Tai,LIN Li-Jin,CAI Juan.Determination of Number of Clusters in K-means and Application in Color Correction of Cell Image.COMPUTER SYSTEMS APPLICATIONS,2014,23(1):114-118