Abstract: An improved fuzzy-enhancement algorithm is brought out according to the shortcomings of traditional algorithms.The membership function and fuzzy-enhancement operator are made up of continuous staged functions，the image is divided into two regions by OTSU method，one is high grey region，and the other is low grey region.The pixels in the high grey region are enhanced，and the pixels in the low grey region are reduced.The simulation results show that this algorithm has good ability to recognize blur and little edges，and it is an effective and efficient way to increase the image contrast.

Key words: membership function, fuzzy set, image enhancement, continuous function

摘要： 针对传统模糊增强算法的缺陷，提出了一种改进的算法。该算法中隶属函数和模糊增强算子均采用连续分段函数，利用OTSU法将图像分为高灰度和低灰度两个区域，对高灰度区域像素进行灰度增强运算，对低灰度区域像素则进行灰度衰减运算。仿真结果表明，该算法具有较强的模糊边缘和细小边缘分辨能力，是一种实用、高效的图像对比度增强算法。

关键词: 隶属函数, 模糊集, 图像增强, 连续函数