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.
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
关键词
图像增强
广义模糊集
隶属函数
自适应
image enhancement
generalized fuzzy set
membership function
adaptive
