Orientation Map and Birefringence Detection of CNC Fibers Using Image Processing Techniques

机译：使用图像处理技术的CNC光纤取向图和双折射检测

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摘要

Cellulose nanocrystals (CNCs) fibers have been applied in numerous areas with characteristics of low cost, light weight, nanoscale and strong mechanical strengths. It can be used as strengthening construction materials with a high stiffness which is comparable to steel. Many of the cellulose derivatives are anisotropic which can display birefringence patterns. It is important to detect the orientation and the birefringence for characterizing the structure of CNC fibers. In this paper, we describe the numerical implementation for obtaining fiber orientation map using their scattered light distribution and detecting birefringence by calculating their mean intensity at various rotation angle.

机译：纤维素纳米晶体（CNCs）纤维已被应用于许多领域，具有低成本，重量轻，纳米级和强机械强度的特点。它可用作具有高刚度的加固建筑材料，可与钢媲美。许多纤维素衍生物是各向异性的，可以显示双折射图案。检测取向和双折射对于表征CNC光纤的结构很重要。在本文中，我们描述了使用光纤的散射光分布获取光纤方向图并通过计算它们在各种旋转角度下的平均强度来检测双折射的数值实现。

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来源
《2014 International Symposium on Optomechatronic Technologies》|2014年|110-114|共5页
会议地点 Seattle WA(US)
作者
Chao-Shih Liu; Le Edward /A/.; Chih-Wei Wang; Wei-Chih Wang; Jin-Jia Hu;
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作者单位

Dept. of Mech. Eng., Univ. of Washington, Seattle, WA, USA;

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原文格式 PDF
正文语种 eng
中图分类
关键词
birefringence; cellulose nanocrystals; image processing; light scattering; orientation;

机译：双折射；纤维素纳米晶体；图像处理；光散射；取向;

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1. Monitoring of the Orientation of Myosin Cross-Bridges by the Two-Dimensional Birefringence Maps in Single Muscle Fibers [J] . L. K. Srebnitskaya, S. A. Neiman, Z. E. Rozhdestvenskaya, Biophysics . 2002,第4期

机译：单肌纤维中二维双折射图监测肌球蛋白跨桥的方向
2. SURVEY ON IMAGE PROCESSING IN THE FIELD OF DE-NOISING TECHNIQUES AND EDGE DETECTION TECHNIQUES ON RADIOGRAPHIC IMAGES [J] . B.THAMOTHARAN, M.MENAKA, SANDHYA VAIDYANATHAN, Journal of Theoretical and Applied Information Technology . 2012,第1期

机译：射线图像降噪技术和边缘检测技术领域的图像处理研究
3. Detection of image orientation with mathematical morphogy and orientation-adaptive image processing for antialiasing [J] . Masahide Naemura, Atsushi Fukuda, Yasunobu Mizutani NHK技研 R&D . 1998,第53期

机译：通过数学形态学和自适应方向图像处理进行抗锯齿的图像方向检测
4. Orientation Map and Birefringence Detection of CNC Fibers Using Image Processing Techniques [C] . Chao-Shih Liu, Le Edward /A/., Chih-Wei Wang, International Symposium on Optomechatronic Technologies . 2014

机译：使用图像处理技术的CNC纤维的定向图和双折射检测
5. MICROCOMPUTER TECHNIQUES FOR THE CREATION AND ANALYSIS OF 7 1/2' IMAGE MAP FROM LANDSAT MSS, RBV, AND THEMATIC MAPPER IMAGES. (VOLUMES I AND II) (GEOGRAPHIC INFORMATION SYSTEM, PROCESSING, AGRICULTURAL MANAGEMENT, NATURAL RESOURCES). [D] . YANG, YOUNG KYU. 1985

机译：用于从LandSAT MSS，RBV和主题映射器图像中创建和分析7 1/2'图像图的微计算机技术。（第一和第二卷）（地理信息系统，处理，农业管理，自然资源）。
6. Dominant Vertical Orientation Processing without Clustered Maps: Early Visual Brain Dynamics Imaged with Voltage-Sensitive Dye in the Pigeon Visual Wulst [O] . Benedict Shien Wei Ng, Agnieszka Grabska-Barwińska, Onur Güntürkün, 2010

机译：没有聚类图的主导的垂直方向处理：鸽子视觉沃尔斯用电压敏感染料成像的早期视觉大脑动力学。
7. Figure 3: Flowchart of an image processing methodology, which include three main steps for implementing change detection research, namely: (1) image pre-processing work: geometrical replication (GR), image registration (IR), minimum nose fraction (MNF) analysis, radiometric correction (RC), atmospheric correction (AC), and topographic correction (TC); (2) selection of optimal techniques to conduct the change detection; and (3) accuracy assessments to obtain final maps. [O] . -1

机译：图3：图像处理方法的流程图，包括实现变更检测研究的三个主要步骤，即：（1）图像预处理工作：几何复制（GR），图像配准（IR），最小鼻部分数（MNF）分析，辐射校正（RC），大气校正（AC）和地形校正（TC）; （2）选择最佳技术进行变化检测; （3）准确评估以获得最终地图。
8. Quantitative Description of in Situ Fiber Orientation State with Image Processing Techniques [R] . Givler, R. C. 1986

机译：用图像处理技术定量描述原位纤维取向状态

Orientation Map and Birefringence Detection of CNC Fibers Using Image Processing Techniques

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