电路板红外图像芯片提取是电路板红外故障检测系统中的重要环节,已成为红外图像分割领域关注的一个重点.针对红外图像的特性及传统分割算法效率和精度不足的缺陷,提出一种基于两种优化策略博弈的马尔可夫随机场红外图像分割方法.首先通过 OTSU算法对图像进行初始分割;然后利用马尔可夫随机场理论建立图像分割模型;最后,通过 SA、ICM优化策略间的博弈对图像进行分割,将两种优化策略视为博弈的两个局中人,通过寻找博弈的纳什均衡点来实现分割;实验结果表明,算法能够无人工干预地准确提取电路板红外图像所有芯片发热区域,并且很好地抑制噪声,准确处理边缘信息,具有一定的实用性和鲁棒性.

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.