红外技术Issue(2)：134-138,5.
基于两方法博弈的马尔可夫随机场红外图像分割算法
Infrared Image Segmentation Based on MRF Combined with Two-algorithm Game
摘要
Abstract
Extracting the infrared image chip exothermic area at a circuit board, which is an important part of the fault detection system, has also been a key point in field of image segmentation. With the characteristics of infrared image and insufficient of traditional segmentation algorithm efficiency and accuracy considered, an infrared image segmentation algorithm based on MRF combined with two- algorithm game is proposed. First, OTSU method is used for initial segmentation, then the image segmentation model is established through MRF; Finally, segmentation is achieved through game between SA and ICM optimization strategy and by searching for the Nash equilibrium point. The simulation results show that the algorithm can not only extract accurately exothermic areas of all circuit board chips without manual intervention, but also make the speckle noise suppressed and keep the detail characteristics effectively. And the algorithm has a certain practicality and robustness.关键词
图像分割/马尔可夫随机场/SA/ICM/博弈论Key words
image segmentation/MRF/SA/ICM/the game theory分类
信息技术与安全科学引用本文复制引用
王坤,张恺,王力,诸葛晶昌..基于两方法博弈的马尔可夫随机场红外图像分割算法[J].红外技术,2015,(2):134-138,5.基金项目
中国民航大学校级项目基金，编号2010kyE07，2010QD02S；国家自然科学基金，编号U1333111；天津市自然基金，编号12JCQNJC00600；中国民航机务维修科研基地资助。 （）
