红外图像的一种Type-II模糊增强算法

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (16): 33-36.

红外图像的一种Type-II模糊增强算法

袁和金¹，张艳宁¹，周涛^1,2，杨福增^1,3，赵文斌¹

1.西北工业大学计算机学院，西安 710072
2.陕西理工学院数学系，陕西汉中 723000
3.西北农林科技大学机电学院，陕西杨凌 712100

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-01 发布日期:2007-06-01
通讯作者: 袁和金

Infrared image enhancement algorithm based on Type-II Fuzzy Sets

YUAN He-jin¹，ZHANG Yan-ning¹，ZHOU Tao^1,2，YANG Fu-zeng^1,3，ZHAO Wen-bin¹

1.School of Computer Science，Northwestern Polytechnical University，Xi’an 710072，China
2.Department of Math.，Shaanxi University of Technology，Hanzhong，Shaanxi 723000，China
3.College of Mechanical & Electronic Engineering，NSTU of Agriculture and Forestry，Yangling，Shaanxi 712100，China

Received:1900-01-01 Revised:1900-01-01 Online:2007-06-01 Published:2007-06-01
Contact: YUAN He-jin

摘要/Abstract

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。

Abstract: This paper puts forward an enhancement algorithm for infrared images based on type-II fuzzy 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 de-fuzzy 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.

袁和金¹，张艳宁¹，周涛^1,2，杨福增^1,3，赵文斌¹. 红外图像的一种Type-II模糊增强算法[J]. 计算机工程与应用, 2007, 43(16): 33-36.

YUAN He-jin¹，ZHANG Yan-ning¹，ZHOU Tao^1,2，YANG Fu-zeng^1,3，ZHAO Wen-bin¹. Infrared image enhancement algorithm based on Type-II Fuzzy Sets[J]. Computer Engineering and Applications, 2007, 43(16): 33-36.