基于广义模糊集合的红外微弱目标图像自适应增强算法  

An Adaptive Enhancement Algorithm of IR Image Based on Generalized Fuzzy Set Theory

作　　者：拜丽萍[1] 王炳健[2] 周慧鑫[2] 

机构地区：[1]中国电子科学研究院,北京100041 [2]西安电子科技大学技术物理学院,西安710071

出　　处：《中国电子科学研究院学报》2007年第3期303-305,共3页Journal of China Academy of Electronics and Information Technology

摘　　要：在广义模糊集合及局部自适应增强算法研究的基础上,提出一种针对红外微弱目标图像的实时模糊域自适应增强算法,利用反正切函数作为映射,将空间域的灰度图像变换为对应的广义隶属函数。实验结果证明,该算法不仅能有效地提高图像灰度动态范围,使各区域之间层次更加清楚,而且同时能自适应地增强图像局部区域不同灰度层次的边缘和细节,使边缘和细节明显地突出。On the basis of generalized fuzzy set theory and local contrast enhancement, the paper presents an adaptive enhancement technique which deals with infrared image. The gray image is translated to correspondent general membership function by using atan mapping. The method can not only improve dynamic range, but also enhance the local contrast in the different gray levels with more image edges and details. Its efficiency and superiority are clarified by experiment.

关 键 词：图像增强 广义模糊集 隶属函数 自适应 

分 类 号：TN219[电子电信—物理电子学]