摘要
针对复杂海空背景下的红外图像,提出了一种基于侧抑制的红外图像自适应预处理的方法。根据不同背景图像方差加权信息熵的变化,建立了方差加权信息熵与侧抑制网络作用调节因子的对应关系。通过对不同实际场景自适应地调整侧抑制网络作用强度,实现了不同背景条件下实时红外序列图像的自适应处理。仿真实验表明,该方法能有效提高杂波背景下图像的信杂比,具有突出目标特征和适应复杂背景的能力。
According to the properties of infrared image under the complex sea and air background, an a- daptive infrared image pre-processing method based on lateral inhibition is proposed. By making use of the changes of variance weighted information entropy in images with different background, the correlation between variance weighted information entropy and appropriate function adjustment factors of the lateral inhibition network is established. Therefore,the role of lateral inhibition strength is adjusted adaptively for different actual scenes, and an adaptive processing method for reabtime infrared sequence image un- der different background condition is realized. Simulation experiments show that the method can effectively improve the SCR performance of infrared images, and has the ability of identifying the detail of target characteristics and adapting to complex backgrounds.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2010年第4期606-609,共4页
Journal of Optoelectronics·Laser
基金
北京航空航天大学青年创新基金项目
关键词
侧抑制
复杂背景
方差加权信息熵
自适应
lateral inhibition
complex background
variance weighted information entropy
adaptive
