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

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.

Abstract:

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.