经济学毕业实习报告 实习报告、实习任务书、实习周记、实习成绩评定表.doc

外文翻译
毕业设计题目:织物防水性能计算机自动评判系统
中润湿边界域识别及等级评定研究
原文1:A new fuzzy edge detection algorithm
译文1:一种新的模糊边缘检测算法
原文2:Condensation of Water Vapor
on Waterproof Breathable Fabrics
译文2:微孔膜防水透湿织物热湿传递中织物表面凝结
A new fuzzy edge detection algorithm
Sun Wei Xia Lianzheng
( Department of Automatic Control Engineering,SoutheastUniversity,Nanjing,210096,China)
Abstract:Based upon the maximum entropy theorem of information theory, a novel fuzzy approach for edge detection is presented .Firstly, a definition of fuzzy partition entropy is proposed after introducing the concept of fuzzy probability and fuzzy partition, The relation of the probability partition and the fuzzy c-partition of the image gradient are used in the algorithm。Secondly, based on the conditional probabilities and the fury partition, the optimal thresholding is searched adaptively through the maximum fuzzy entropy principle, and then the edge image is obtained。Lastly, an edge-enhancing procedure is executed on the edge image .The experimental results show that the proposed approach performs well。
Key words :edge detection ;fuzzy entropy ;image segmentation ;fuzzy partition
Image segmentation is an important topic for image analysis, computer vision and pattern recognition .Until now, many classical edge detection algorithms have been put forward .In recent years, fuzzy set theory has been essfully applied to many areas, such as automation control, image processing, pattern recognition puter vision, etc .It is generally believed that image processing bears some fuzziness in nature due to the following factors: ①Information loss while mapping 3-D objects into 2-D images; ②Ambiguity and vagueness in some definitions (such as edges, boundaries, regions, and textures, etc.);③Ambiguity and vagueness in interpreting low-level image processing results .Therefore, fuzzy techniques have frequently been used in image segmentation .
Jin Lizuo .et a1. proposed a new definition of fuzzy partition entropy using the condi