【作者】 吴川； 朱明； 杨冬；

【Author】 Wu Chuan~1 Zhu Ming~1 Yang Dong~2 (1 Image Processing Laboratory,Changchun Institute of Optics Fine Mechanics and Physics,Chinese Academy of Sciences, Changchun 130022,China) (2 Changchun University of Technology,Changchun 130012)

【机构】 中国科学院长春光学精密机械与物理研究所图像处理室； 长春工业大学；

【摘要】 目前模糊集理论已经成功应用在许多领域,例如图像处理、自动控制、模式识别等方面。本文针对低对比度图像场景下,利用模糊理论及最大模糊熵原则找到最佳灰度阈值,把目标从背景中分割出来。在研究其他学者大量文章的基础上,本文改进了已有的隶属函数,使自适应阈值的选取过程大大缩短。经过对多幅低对比度图像采用多种分割方法,处理结果表明本文提出的方法切实可行,具有较强的场景适应能力。更多还原

【Abstract】 The Fuzzy set theory has been successfully applied to many application areas,such as image processing,auto control,pattern recognition,etc.In this paper fuzzy theory and maximum fuzzy entropy principle are applied to select the threshold value for gray-level image.Based on a lot of articles of scholars,this paper improves membership function.It leads to save time of calculation.We have adopted to different methods to many low contrast images.The experimental results demonstrate that the proposed approach can select the threshold automatically and effectively.更多还原