摘要
提出了一种基于Type-Ⅱ模糊集的红外图像增强算法,该算法首先根据像素的邻域相关性对图像进行预处理,然后以Ostu分割阈值为基础,构造了红外图像的Type-Ⅱ模糊特征平面;然后,采用不同的变换规则对图像进行模糊增强,并将结果进行融合;最后,通过Type reduction和去模糊化操作得到增强后的输出图像。对几幅典型的红外图像的增强实验表明,提出的方法能够有效地提高红外图像的对比度。
This paper puts forward an enhancement algorithm for infrared images based on type-Ⅱfuzzy sets. Firstly,the image is preprocessed according to the pixels＇space correlation and then mapped into type-Ⅱ fuzzy feature plane based on Ostu threshold. In succession,the transformed image is enhanced by different rules and the results are fused. After type reduction and defuzzy operation on the enhanced type-Ⅱ fuzzy feature plane,the final image is obtained. The experiments on different infrared images show that the proposed method is an effective contrast enhancement algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第16期33-36,102,共5页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60472072)
航空科学基金(No.04I50370)
