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一种改进的阈值分割算法在复合材料图像处理中的应用
引用本文:李想,万永菁,周又玲.一种改进的阈值分割算法在复合材料图像处理中的应用[J].江南大学学报(自然科学版),2006,5(4):467-471.
作者姓名:李想  万永菁  周又玲
作者单位:华东理工大学,信息科学与工程学院,上海,200237
摘    要:针对纤维增强复合材料微观结构图像的特点,提出了一种改进的基于模糊思想的阈值分割算法,该算法利用整体阈值、局部阈值和像点梯度信息之间的关系,构造了一个双输入单输出的模糊逻辑系统,合理计算出像点的最佳分割阈值.实验结果证明了算法的有效性.

关 键 词:阈值分割  模糊逻辑  纤维增强复合材料  最大熵算法
文章编号:1671-7147(2006)04-0467-05
收稿时间:2006-02-20
修稿时间:2006-04-08

An Improved Threshold Segmentation Algorithm and Its Application in Image Processing of Composites
LI Xiang,WAN Yong-jing,ZHOU You-ling.An Improved Threshold Segmentation Algorithm and Its Application in Image Processing of Composites[J].Journal of Southern Yangtze University:Natural Science Edition,2006,5(4):467-471.
Authors:LI Xiang  WAN Yong-jing  ZHOU You-ling
Affiliation:College of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237 , China
Abstract:Considering the characteristics of the microstructure image of fiber- reinforced composites, an improved threshold segmentation algorithm based on fuzzy theory is proposed in the paper. By using the relationship of the overall threshold of the image, part threshold and the gradient information of a pixel point, a fuzzy logical system with two inputs and one output is designed in the algorithm and the reasonable segmentation threshold of each pixel point is calculated. The validity of the algorithm is proved by the experiment results.
Keywords:threshold segmentation  fuzzy logic  fiber-reinforced composites  maxim entropy thresholding
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