基于OTSU的动态结合全局阈值的图像分割  

Segmentation Image Using Dynamic Combined Global Threshold Based on OTSU

作　　者：吴海滨[1] 周后伟[1] 张铁译[1] 陈新兵[1] 周雨润[1] 王哲[1] 

机构地区：[1]安徽大学物理与材料科学学院,安徽合肥230039

出　　处：《大气与环境光学学报》2012年第6期463-468,共6页Journal of Atmospheric and Environmental Optics

基　　金：科技部创新基金项目(07C26213400516)资助

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。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。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.

关 键 词：OTSU算法 图像分割 阈值矩阵 双线性内插值算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]