利用粒子群算法实现水泥μCT图像灰度校准

J4 ›› 2010, Vol. 45 ›› Issue (11): 16-20.

利用粒子群算法实现水泥μCT图像灰度校准

齐鲁¹,杨波¹*,王琳²

1.济南大学信息科学与工程学院, 山东济南 250022;
2.山东大学计算机科学与技术学院, 山东济南 250101

收稿日期:2010-06-30 出版日期:2010-11-16 发布日期:2010-11-24
通讯作者: 杨波(1965-),男,教授,博士，研究方向为计算机网络与智能信息处理.
作者简介:齐鲁(1987-),男,硕士研究生,研究方向为计算机系统结构与图像处理. Email:nic-qilu@ujn.edu.cn
基金资助:
国家973计划前期研究专项基金项目(2010CB635117);国家自然科学基金资助项目(60873089,60573065, 60673130,90818001,F020804);山东省自然科学杰出青年基金资助项目(JQ200820)

PSO based grayscale correction for cement paste image gathered by μCT

QI Lu¹, YANG Bo¹*, WANG Lin²

1. School of Information Science ＆ Engineering, University of Jinan, Jinan 250022, Shandong, China;
2. School of Computer Science ＆ Technology, Shandong University, Jinan 250101, Shandong, China

Received:2010-06-30 Online:2010-11-16 Published:2010-11-24

摘要/Abstract

摘要：

由于X射线源的发射能量不稳定等原因,导致μCT扫描仪在不同时间对同一水泥水化浆体扫描时,同一物质线性衰减系数不同产生灰度差异。依据水泥水化理论和图像处理相关原理,利用粒子群算法（particle swarm optimization, PSO）优化区间范围参数,将待校准的水泥图像灰度范围重映射到相关区间,再对原始的灰度直方图曲线进行拉伸变换,直到待校准图像直方图两个波峰区域与参考图像直方图两个波峰区域对齐为止,从而达到不同时间的水泥图像是同一物质灰度校准的目的。

关键词: 灰度校准;粒子群算法;波峰对齐;μCT水泥图像

Abstract:

When the μCT scans the same cement paste at different times, the grayscale of the same matter are different because that causes the unstable Xray′s emitted energy the different linear attenuation coefficient. According to the cement hydration principle and the theory of image processing, and using the particle swarm optimization(PSO) algorithm to optimize interval parameters′ range, the grayscale was redirected to another interval, then the original histogram figure was stretched until the two wave crests between the float image histogram and the reference image histogram were aligned. Finally the grayscale correction would be realized.

Key words: grayscale correction; particle swarm optimization algorithm; wave crest alignment; μCT cement paste image

齐鲁1,杨波1*,王琳2. 利用粒子群算法实现水泥μCT图像灰度校准[J]. J4, 2010, 45(11): 16-20.

QI Lu1, YANG Bo1*, WANG Lin2. PSO based grayscale correction for cement paste image gathered by μCT[J]. J4, 2010, 45(11): 16-20.

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