基于图像距离差的织物疵点检测算法研究

将机器视觉与数字图像处理技术引入到织物疵点检测中,提出了一种织物疵点检测算法———图像距离差算法,即图像采集、图像处理、疵点识别等。该算法可使用户根据织物的类型,自行设置相应的疵点检测控制参数,能够检测出30多种常见的疵点,实验证明该算法具有识别正确率高、误识率低、识别速度快等优点。     

提高织物图案分色精度面向对象的一个新算法

本文设计了一个提高织物图案分色精度的新算法，该算法的分色过程在ＣＩＥ－Ｌａｂ均匀色度空间进行，能够完全控制分色过程的色差精度，同时提高分色过程的速度。     

基于频率域滤波器的织物疵点检测

针对织物疵点检测,设计了一个频率域滤波器,它包括两个最优的圆形Gabor滤波器和一个与Gabor滤波器相切的中心掩模,基于该滤波器提出了一种频率域的疵点检测算法.应用提出的算法对织物疵点图像作疵点检测,实验结果表明,该算法能够有效地检测疵点.     

基于减法聚类的自适应模糊神经网络评定织物起皱等级

提出了一种基于减法聚类的自适应模糊神经网络，用于织物起皱等级评定．首先利用减法聚类方法确定模糊神经网络的结构，再结合模糊推理系统进行模式识别，并详细介绍了其基本原理和学习算法，最后引入4种起皱特征参数对真实织物进行验证．实验表明，该方法有效且可行．     

颜色量化在提花织物CAD中的应用

通过对颜色量化算法的分析，结合提花织物CAD软件功能的需要，探讨了一种适合提花织物CAD软件需要的颜色量化算法，并且在VC＋＋平台上得到了实现。     

织物组织计算机图像分析系统的开发

基于单纱织物的结构特点，结合几种典型的图像处理算法，探讨建立织物组织自动识别系统的方案，阐述用于组织识别的算法思路，经软件处理生成织物三种基本组织的组织图。     

基于模糊聚类分析的织物质量分级方法

织物性能的分类、分级信息是纺织品质量评估的直观表述。在织物客观评估的基础上，提出了基于减法聚类与模糊C-均值(FCM)聚类的集成方法用于纺织品质量评估分析。该方法以减法聚类算法得出的样本的最佳分类数为基础，用FCM聚类算法得到具体的分类结果。将聚类中心的特征值之和定义为分级指数，进一步用于解决织物质量的分级问题。通过对法国鲁贝高等纺织工程学院自织的43块棉针织物的分析，证明了以上方法在处理纺织品质量分类、分级问题中的有效性。     

影光、泥地画法的计算机实现

在对大量意匠图进行分析的基础上，总结出精细纹织物的影光、泥地生成机理．对其计算机实现进行了详细论述，并给出了有关算法流程．该算法在·ＢＭＰ位图文件格式中得以实现，取得了较为满意的效果．     

纬二重毛毯织物CAD系统

介绍纬二重毛毯织物ＣＡＤ系统的组成，对其计算机实现进行了详细论述，并给出了有关算法流程．该系统已交付厂家使用，取得了令人满意的效果．     

基于细分优化方法的织物模拟

提出一种基于插值细分造型的织物模拟算法.通过对织物物理和几何属性分析,构造出一个带约束的几何模型,在改进的四点插值细分造型基础上,通过动态细分网格并结合曲面优化调整以达到高效模拟柔性织物自然行为的目的.克服了以往仿真方法中求解物理模型复杂、模拟过程难以控制的缺陷,简化了计算模型,提高了计算效率.最后,以织物模拟为例说明该算法的实现.     

基于光度立体视觉法的织物三维表面形态研究

提出了一种基于光度立体视觉方法对织物进行三维表面重建.结合有限差分法,获取织物的三维轮廓数据.重建织物的表面形状并加以分析.     

基于光度立体图像三维重建的起皱织物表面形态

采用不同光照条件下拍摄的多幅图像,利用光度立体技术对织物表面进行3D重建.首先根据物体表面的照度方程,引入广义逆的概念求解物体表面方向进而确定表面梯度,再运用线积分计算表面高度,结合变分和有限差分思想对所得拟合表面进行进一步的迭代和修正,获得最佳重建表面.将该算法运用到AATCC织物平整度模板图像的三维重建,可获取三维深度信息,并结合4个特征值表征织物起皱程度.     

Imitation of Fabric Flagging Based on Amplitude Modulation

A model-independent 3 - D texture synthesis ofphysical and stochastic algorithms, based on an amplitudemodulation method, is presented to realize 3 - D fabricdynamic simulation. The physical functions are built tosimulate fabric basic deformation. The stochasticfunctions, generated by Perlin noise, are used to simulatefabric natural motion in the wind. The two kinds offunctions are synthesized by method of amplitudemodulation. As the arithmetic uses stochastic functions instead of recursive algorithm, it is capable of simulating thefabric material, the wind force and direction in real-time.Given the fabric material and wind strength, thestochastic functions can be created to simulate fabricmotion in the wind and this model can be adjusted bycontrolling some certain parameters to achieve a goodsimulation effect. This method is conceptually intuitive,computationally fast and efficient. Furthermore, thecombination of fabric physical and statistic motioncharacteristics provides an attractive way to improve thedisplay effect and rate.     

Web-Based Interactive Simulation of Weft Knitted Fabric

In order to realize parametric simulation of three- dimensional (3D) fabric structure based on web,a 3D model describing a plain knitted fabric,in which the cross- section of the yarn is circular shape and the path of the yarn is cubic B-spline curve,is proposed in this paper. With this model,the 3D simulation of the loop and of the basic structures of the knitted fabrc is realized by using Virtual Reality Modeling Language (VRML). The virtual simulation scene is suitable for network transmission with freely available VRML browsers and can be translated,scaled and rotated quite arbitrarily. By using Java and External Authoring Interface (EAI) technology,the web- based interactive simulation platform of weft knitted fabric is established. The user can input type of structures,basic fabric parameters,and yarn colors interactively to obtain a more realistic simulation result in real-time. A new approach is provided to imitate the knitted fabric 3D appearance on network.     

3D机织物的织造与力学性能测试

以3D正交机织物为例，研究纱线交织方式、纱线层数等对织物力学性能的影响。     

实时织物悬垂性能物理模型及应用

快速计算机模拟和仿真技术是纺织物、服装的计算机辅助设计和制造的关键技术组成．逼真的纺织物、布料、服装的三维计算机可视化设计在其他许多领域也非常重要．例如在3DCG电影制作中逼真的计算机服装动态特效、3D电脑游戏、网上购物等．本文着重于计算方法，综述和分析了服装物理模型及其应用的最新进展，探讨了当前主要存在的问题，技术挑战，和可能的解决方案．提出了一种基于变形能的服装悬垂模型及算法，并展示了仿真结果．本文所提出的模型适用于纺织物、服装的快速计算机三维动态模拟．另外，也提出和探讨了识别纺织物材料的复杂动态变形材料性能参数的可能性方案．     

基于网格的织物虚拟场景真实感模拟及计算机实现

提出并实现了一种在虚拟场景中进行织物真实感模拟的方法。针对图像形式的特定场景，先确定要进行处理区域的边界，建立区域网格，对网格进行必要的拉伸、旋转等变换；然后进行纹理映射，同时保留场景原有的明暗度关系。运用这种方法建立的织物场景模拟，可使织物设计者能够迅速地检查设计效果，为织物虚拟地展示提供了工具，具有良好的实用性。     

纬编针织物外观模拟纹理映射技术研究

为更好地展示针织物的着装效果,针对针织纹理图案结构性强的特点,将网格分割算法同两步纹理映射算法相结合.首先利用模型三角片的切向量场将其进行区域划分；然后在两步纹理映射的基础上,提出了将区域的包围盒作为中介面进行纹理映射的算法；最后利用拼接面片纹理技术对纹理接缝区域进行平滑处理,实现纹理的无缝拼接.试验结果表明,该算法既保证了纹理图案在三维模型表面的连续感,又能满足纹理走向符合物体表面形状的要求.     

Three-Dimension Parametric Simulation of Knitted Fabric Based on the Twisted Loop Model

To enhance the realistic simulation effect of knitted fabric, a new three-dimension （3D） twisted loop model was proposed. This model was constructed by using Non-uniform Rational B-Spline （NURBS） surface. The control points of this surface were generated through rotating the cross-section along the center path of yarn. The cross-section of yarn was generated based on the two-level hexagonal ~lose packing model. Both of the center path and the cross-section were fitted by NURBS. With this twisted loop model, 3D parametric simulation of knitted fabric was realized in 3DS MAX by utilizing MAXScript and analyzing the relationships between structure parameters （including the wale-spacing, the course-spacing, the yarn diameter, .and the fabric thickness） and geometric model. The simulation of knitted fabric has 3D realistic twist effect dearly. Furthermore, the structure parameters and the twist parameters of fabric can be modified interactively.     

Automatic Assessment of Fabric Smoothness Grade Using Double CCD Grating Projection

Automatically assessing fabric smoothness grade is very important in the evaluation of fabric appearance. A system for objectively evaluating the fabric smoothness grade based on a grating projection unit and double colored CCD (short form of charge coupled device) was constructed in this paper. Two images captured by different CCD compensated each other which reduced the influence of noises. The application of the four-step phase-shifting method enabled the calculation of the exact phase in a point easy and quick. A large amount of 3D points with three coordinates X, Y and Z were obtained precisely making the definition and calculation of fabric smoothness characters easy. Then four parameters which intuitively denoted the fabric smoothness degree were obtained. Finally, a proper neural network was built, which successfully performed the fabric smoothness classification. The experimental results show that the system is applicable for all the fabric whatever pattern or color. The experimental grades provided by this grating projection system are also highly consistent with the subjective results.