基于OTSU的动态结合全局阈值的图像分割

大气与环境光学学报 ›› 2012, Vol. ›› Issue (6): 463-468.

基于OTSU的动态结合全局阈值的图像分割

吴海滨，周后伟，张铁译，陈新兵，周雨润，王哲

（安徽大学物理与材料科学学院安徽合肥 230039）

收稿日期:2012-04-16 修回日期:2012-05-04 出版日期:2012-11-28 发布日期:2012-11-08
通讯作者: 吴海滨（1962-），男，安徽合肥人，教授、博导，从事特种工业电视系列产品的开发设计及图像信息处理方面的研究工作。 E-mail:WHB62@263.com
作者简介:吴海滨（1962-），男，安徽合肥人，教授、博导，从事特种工业电视系列产品的开发设计及图像信息处理方面的研究工作。
基金资助:
科技部创新基金项目（07C26213400516）资助

Segmentation Image Using Dynamic Combined Global Threshold Based on OTSU

WU Hai-bin, ZHOU Hou-wei, ZHANG Tie-yi, CHEN Xin-bing, ZHOU Yu-run, WANG Zhe

(School of Physics and Material Science, Anhui University, Hefei 230039, China)

Received:2012-04-16 Revised:2012-05-04 Published:2012-11-28 Online:2012-11-08

摘要/Abstract

摘要：

动态结合全局阈值的图像分割方法，在图像灰度分布没有明显双峰及背景复杂的情况下也有很好的适应性。本文用OTSU方法求得近红外图像的全局阈值s和各子图像的阈值d；利用双线性内插值算法求得与原图像等大的阈值矩阵D。通过调整比例系数k,最后完成阈值矩阵T的构造和图像分割。此方法能有效分割出石化炼油炉的炉管图像。

关键词: OTSU算法, 图像分割, 阈值矩阵, 双线性内插值算法

Abstract:

In the case of image gray distribution without significant double peaks and the complex background, the dynamic image segmentation method combined with global threshold has good adaptability. The global threshold of near-infrared image s, and the threshold value of the small-block images d are evaluated by the method of OTSU, and the threshold matrix D with the original image by the bilinear interpolation algorithm. Finally, the structure of threshold matrix T and segmentation of image are completed by adjusting the scale coefficient k. This method can effectively split images of the furnace tube in petrochemical refinery.

Key words: OTSU algorithm, image segmentation, threshold matrix, bilinear interpolation

中图分类号:

TP391

吴海滨周后伟张铁译陈新兵周雨润王哲. 基于OTSU的动态结合全局阈值的图像分割[J]. 大气与环境光学学报, 2012, (6): 463-468.

TUN Hai-Bin, ZHOU Hou-Wei, ZHANG Tie-Yi, CHEN Xin-Bing, ZHOU Yu-Run, WANG Zhe. Segmentation Image Using Dynamic Combined Global Threshold Based on OTSU[J]. Journal of Atmospheric and Environmental Optics, 2012, (6): 463-468.

参考文献

[1] Ma Yide, Qian Zhibai, Li Na. Image segmentation using dynamic threshold combined global threshold based FCM [J]. Journal of University of Electronic Science and Technology of China, 2006, 35(3): 349-351(in Chinese).
马义德, 钱志柏, 李娜. 基于FCM的动态结合全局图像阈值分割 [J]. 电子科技大学学报, 2006, 35(3): 349-351.
[2] Xia Xutang, Wu Haibin, Chen Xinbing, et al. Application research of the segmentation of near-infrared image based on OTSU [J]. Journal of Atmospheric and Environmental Optics, 2011, 6(6): 470-475(in Chinese).
夏需堂, 吴海滨, 陈新兵, 等. 基于OTSU的近红外图像分割的应用研究 [J]. 大气与环境光学学报, 2011, 6(6): 470-475.
[3] Han Qingsong, Jia Zhenhong, Yang Jie, et al. Remote sensing image thresholding segmentation based on the modified OTSU algorithm [J]. Laser Journal, 2010, 31(6): 33-34(in Chinese).
韩青松, 贾振红, 杨杰, 等. 基于改进的OTSU算法的遥感图像阈值分割 [J]. 激光杂志, 2010, 31(6): 33-34.
[4] Li Hong, Zhang Dongsheng, Lin Yigang, et al. The study of gray-level image segmentation algorithm based on OTSU method and its improvement [J]. Science Technology and Engineering, 2010, 10(22): 5437-5440(in Chinese).
李宏, 张冬生, 林义刚, 等. 基于OTSU理论的灰度图像分割算法研究和改进 [J].科学技术与工程, 2010, 10(22): 5437-5440.
[5] Fu Xiang, Guo Baolong. Overview of image interpolation technology [J]. Computer Engineering and Design, 2009, 30(1): 141-193(in Chinese).
符祥, 郭宝龙. 图像插值技术综述 [J]. 计算机工程与设计，2009, 30(1): 141-193.
[6] Jiang Xuedong, Wei Sui, Wu Haibin. The application of image processing in measurement of furnace s flame temperature field [J]. Microcomputer Development, 2002, 12(3): 34-37(in Chinese).
姜学东, 韦穗, 吴海滨. 图像处理技术在炉膛火焰温度场分布中的应用 [J]. 微机发展, 2002, 12(3): 34-37.