【摘要】 针对马尔可夫随机场在红外图像分割方面存在的问题,给出了一种基于混合高斯模型的三马尔可夫场红外图像分割算法。三马尔可夫场在马尔可夫随机场的基础上通过引入一个附加随机场和全体随机变量服从马尔可夫性假设,克服了马尔可夫场算法中对条件概率分布相互独立的要求,并赋予该附加随机场对目标和背景区域的标识作用,其中采用混合高斯模型作为三马尔可夫随机场的先验模型。仿真结果表明,文中提出的基于混合高斯模型的三马尔可夫场红外图像分割算法能够实现复杂背景的红外图像准确分割,得到较为理想的分割效果。更多还原

【Abstract】 Due to the problems to infrared image segmentation using Markov random fields,a method for infrared image segmentation based on triplet Markov fields using mixture gauss model was proposed.The assumpation of conditional distributions independences were overcome by introducing an auxiliary random field in Markov random field and considering the Markovianity of all the random processes in the triplet Markov fields.And the objects areas and background areas were distinguished by this auxiliary process.In there the Gaussian mixture model was used to be the triplet Markov fields probability model.The experimental results show the infrared image can be segmented well by the triplet Markov fields for complex background.And the ideal segmentation results were obtained.更多还原