一种改进的2维Otsu红外图像分割法研究  

Improved segmentation method of 2-D Otsu infrared image

作　　者：张建波[1] 杨恢先[2] 周彤彤[2] 谭正华[1] 李淼[2] 

机构地区：[1]湘潭大学信息工程学院,湘潭411105 [2]湘潭大学材料与光电物理学院,湘潭411105

出　　处：《激光技术》2014年第5期713-717,共5页Laser Technology

基　　金：湖南省教育厅科研资助项目(10C1263);湘潭大学科研资助项目(11QDZ11)

摘　　要：为了在2维直方图上用Otsu方法更好地分割红外图像、提高抗噪能力,提出了一种改进的方法。首先分析在2维灰度-邻域均值直方图上的分割存在不准确性,采用2维灰度-梯度直方图,且改进对邻域均值的求取算法;然后对Otsu法的阈值函数进行研究,引入类内的分离信息改进阈值函数,并简化该阈值函数以降低运算复杂度,通过实验给出了相应的实验对比。结果表明,改进的方法能更好地分割目标,运行时间较少、抗噪性更强。In order to gain better segmentation resuh of infrared images, and improve the ability to resist noise, an improved 2-D Otsu method was proposed. The inaccurate segmentation in the 2-D gray-neighborhood average histogram was analyzed, and 2-D gray-gradient histogram was adopted. A new algorithm to gain neighborhood average value was put forward. Information of within-cluster was added to amend threshold function, which was further simplified to reduce the calculation complex. Experiments show that the improved method can segment the target better, gain better noise resistance and cost less time.

关 键 词：图像处理 OTSU法 邻域均值 阈值函数 

分 类 号：TN911.73[电子电信—通信与信息系统]