期刊导航

论文摘要

碳纤维木质复合材料电镜图像分析及形态特征研究

Electron microscopic image analysis and morphological characteristics of carbon fiber wood composites

作者:张冬妍(东北林业大学);宋现铭(东北林业大学)

Author:ZHANG Dong-Yan(Northeast Forestry University);SONG Xian-Ming(Northeast Forestry University)

收稿日期:2018-05-28          年卷(期)页码:2019,56(6):1138-1144

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:碳纤维木质复合材料;图像分割;改进FCM算法;特征提取

Key words:Carbon wood composite materials; Image segmentation; Improved FCM; Feature extraction

基金项目:省自然科学基金

中文摘要

图像分析同图像处理、计算机图形学等研究内容密切相关, 而且相互交叉重叠. 将改进的抗噪声能力强并考虑邻域像素的模糊C均值聚类算法应用到碳纤维木质复合材料研究中, 经过试验验证取得了满意的分割结果. 然后对分割结果进行碳纤维特征参数提取, 并设置一个碳纤维分布形态参数r来区分电镜图像中碳纤维有无黏连成束. 本研究为碳纤维木质复合材料均匀化识别提供了便捷的方法, 同时也为后期构建碳纤维木质复合材宏微观模型提供数据支持.

英文摘要

Image analysis is closely related to image processing, computer graphics and other research contents, and overlaps with each other. The improved fuzzy C mean clustering algorithm with strong anti noise ability and neighborhood pixels is applied to the research of carbon fiber wood composites. The satisfactory results have been obtained through the test. After that the characteristic parameters of carbon fiber were extracted and a carbon fiber distribution parameter r was set up to distinguish the carbon fibers in the electron microscope. This study provides a convenient method for the identification of carbon fiber wood composites, and provides data support for the later construction of macro and micro models of carbon fiber wood composites.

关闭

Copyright © 2020四川大学期刊社 版权所有.

地址:成都市一环路南一段24号

邮编:610065