基于三角隶属函数和模糊熵的图像增强方法及其相关应用研究

鉴于图像增强技术在生活应用中的重要性,模糊技术在图像应用中的实用性和广泛性,提出了一种基于三角隶属函数和模糊熵的新的图像增强算法(T-FE增强算法),使用三角函数作为隶属函数,重构参数型对比增强算子,运用模糊熵最大原则选取阈值,计算快速,简单.并且将T-FE算法运用于图像分割,边缘检测.通过实验仿真表明,T-FE算法在进行图像处理时有较好效果.

Image Enhancement Methods Based on Triangular Membership Functions with Fuzzy Entropy and Some Application Researchs

In view of the importance of the image enhancement technology in application and life,the practicality and extensiveness of fuzzy techniques in image processing,In this paper,we propose a new enhancement algorithm based on triangular membership function with fuzzy entropy(i.e.,T-FE enhancement algorithm),and we use trigonometric function as the membership function,reconstruction parameters-contrast enhancement operator while selecting the threshold by the principle fuzzy entropy of maximizing,which is fast and simple .Meanwhile we apply the T-FE algorithm to image segmentation,edge detection.Numerical Simulation results indicate that the T-FE algorithm can get a better results in image processing.