光谱法原色染料筛选的方法研究

为了使筛选出来的染料能够实现较大的色域范围,减少印花用色版数量,根据色彩科学的基本原理与四色网点印花理论,提出了光谱法筛选网点印花原色染料的新方法.染料色浆在真丝织物上印花后,测得染料光谱反射率曲线,建立了筛选数学模型.实验表明,光谱法筛选原色染料具有操作简单,速度快,精度高等特点,对网点印花实践具有较好的指导意义,对染料配色有一定的参考价值.     

织物网点印花的分配数研究

网点是决定原色染料网目阶调印花质量的关键问题，并受织物结构的直接影响。建立了织物单元组织孔洞的数学模型。实验结果证实了织物组织结构与网点大小之间存在一定的分配数量关系，并获得了准确的网点参数。还提出了进一步研究的新课题。 (将发表在《西安理工大学学报》2001 Vol.17 No.2)     

印花织物的源流

印花织物在装饰艺术中有着悠久的历史,在人们的生活中是最普及的大众喜爱的产品,在人类的衣生活文化中占据着重要的地位。这里从织物印花的起源、早期的织物印花（东西方织物印花工艺技术的相互促进和影响）、机器印花的发明、多姿多彩的风格流派等四个部分,阐述了印花织物的发展概况。     

PA类自交联型粘合剂的合成与应用

合成了自交联型涂料印花粘合剂．讨论了各种因素对该印花粘合剂的性能和印花织物效果的影响．结果表明，该自交联型涂料印花粘合剂稳定性好，印制的织物牢度好、手感佳．     

活性染料印花固色剂WF的应用研究

采用固色剂WF用于活性染料直接印花的快速固色,并与常规印花进行比较。探讨固色剂WF对印花织物的表观色深、印花色度、染料的提升性、印花牢度的影响。研究结果表明：在活性染料印花快速固色中,固色剂WF的加入,表现出较高的表观色深,使印花织物的明度有较大提高,彩度与常规印花标样接近。固色工艺参数的波动,对印花色度影响不大。染料的提升性高于常规印花,活性染料印花织物的皂洗牢度和摩擦牢度均达到较高水平。     

织物网点印花压力与接触面积比的关系研究

对适印织物定义了表面平滑度、接触面积比和网点分配数等新概念，建立了织物压缩的数学模型。实验结果表明，织物民织物表面平滑度和网点大小之间的数学模型是正确的，并获得了准确的网点参数。     

改性瓜尔豆胶印花性能探讨

对改性瓜尔豆胶和海藻酸钠印花糊料的各项性能及其用于棉织物活性染料印花效果进行对比.实验表明,改性瓜尔豆胶的成糊率较高,其PVI值比海藻酸钠印花糊料PVI值低,粘度较大,更接近平网印花对糊料粘度的要求,且印花织物具有较好耐摩擦、耐水洗性能;改性瓜尔豆胶糊料其印花织物的K/S值与海藻酸钠糊料的印花织物相接近.因此,使用改性瓜尔豆胶可以部分替代海藻酸钠作为印花糊料,以降低生产成本.     

棉织物涂料数码印花适性规律

针对数码印花中织物印花效果只有在打印完成后才可根据印花织物所显现的色彩和图案进行评价,而打印前织物本身的物理特性对印花效果的影响尚不明确的现状,以9种棉织物为研究对象,筛选影响棉织物印花适性的9项物理指标(纱线支数、经密、纬密、厚度、纱线捻度、白度、芯吸高度、光泽度和表面粗糙度),利用主成分分析法构建棉织物印花适性的评...     

超临界CO2技术下麻织物冰裂纹肌理研究

试验采用分散红54在超临界染色装置上进行亚麻织物的防染印花,探究了染色时间、染色温度、染色压力以及糊料浓度对亚麻织物防染印花性能的影响,测定了染色后亚麻织物及印花的K/S值和色牢度.结果表明,在防染剂质量分数为10％、温度为120℃、压力为20 MPa、染色时间为60 min的条件下,亚麻织物印花防白效果好同时印花能达...     

SAS软件对喷墨印花打样重现性的提高

为减少涂料印花目标色和涂料墨水喷墨印花的颜色差异,将喷墨印花技术用于涂料圆网或平网印花前期的打小样环节中,改变了在图像处理软件中直接输入涂料印花目标样Lab值的传统喷墨印花方法。该方法首先对输入图像处理软件中的Lab值与喷墨印花织物测出的Lab值进行比较,利用SAS软件对数据进行分析,再建立涂料印花目标色与喷墨打印后织物颜色的函数校正关系。结果表明,通过一次或几次SAS软件拟合函数校正,减少了喷墨印花打样颜色与目标色之间的色差,提高了喷墨印花打样与涂料印花的重现性,不仅可以节约打样成本,而且能够更好地配合大生产过程。     

基于高斯-马尔可夫随机场模型的织物纹理特征参数提取方法

将高斯-马尔可夫随机场用于织物纹理的建模.在估计模型参数时,采用不完全 Cholesky共轭梯度法.获得特征参数后,通过纹理合成方法,仿真原始纹理图像.试验表明:仿真织物纹理图像与真实织物纹理图像具有较为一致的视觉效果,从而论证了高斯-马尔可夫随机场模型对织物纹理建模的有效性.     

Microscopic Halftone Image Segmentation

Microscopic halftone image recognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant steps during the procedure. Automatic segmentation on microscopic dots by the aid of the Fuzzy C-Means (FCM) method that takes account of the fuzziness of halftone image and utilizes its color information adequately is realized. Then some examples show the technique effective and simple with better performance of noise immunity than some usual methods. In addition, the segmentation results obtained by the FCM in different color spaces are compared, which indicates that the method using the FCM in the f1f2f3 color space is superior to the rest.     

浅谈数字半色调图像水印技术

介绍了有序抖动、误差扩散和模板法三种图像半色调方法,在此基础上,综述了现有的半色调图像水印算法,并对其中的四种方法进行了比较.比较结果表明,不同的方法各有优缺点,实际使用时可根据具体的要求来选择.     

基于Wold纹理模型和分形理论的织物疵点检测

应用基于Wold纹理模型,从织物纹理中提取非确定性随机结构.通过正常纹理和疵点纹理中随机结构的表面维分形特征曲线比较,以距离为判别标准定位疵点.几种典型织物疵点的分析表明,基于Wold纹理模型和分形理论的分析方法能准确地检测出织物表面的多种疵点.     

CMAC Based Color Separation in Printing Images

To over come the drawbacks existing in current measurement methods for detecting and controlling colors in printing process, a new medal for color separation and dot recognition is proposed from a view of digital image processing and patter recognition. In this model, firstly data samples are collected from some color patches by the Fuzzy C-Means （FCM） method; then a classifier based on the Cerebellar Model Articulation Controller （CMAC） is constructed which is used to recognize color pattern of each pixel in a microscopic halftone image. The principle of color separation and the algorithm model are introduced and the experiments show the effectiveness of the CMAC-based classifier as opposed to the BP network.     

一种改进型的混合半色调算法及其在高精度花布图样中的应用

提出一种改进型的误差分散算法,分析了它与模式法联合的优点,最终形成一种改进型的混合半色调算法－Ｓ型模式分散法,并将其运用于高精度花布图样印染分色系统．     

Fabric Defect Detection Using GMRF Model

It has been testified that the Gauss Markov random field model is most suitable for the characterization of fabric texture among a variety of available models because of its approximately constant character and the normality of the gray-level distribution found with typical fabric images. However, the general Gauss-Markov random field(GMRF) method for fabric defect detection is not always ideal in practice since in some cases, the estimated model parameters make the Markov error covariance not positively definite, which may render the method to fail thoroughly. In this paper, the use of the GMRF model for defect detection of fabric is discussed and an approach to this problem is proposed. Some detailed texture may be overlooked in this way, but good detection results can still be expected as far as fabric defect detection is concerned.     

基于莫尔效应的半色调图像处理防伪方法

以莫尔效应和半色调图像的信息隐藏为理论基础,将图像和文字信息隐藏在预复制的彩色图像中,然后通过激光打印机和印刷打样方式输出图像.实验结果表明:将特定的检测膜片置于打印稿或印刷稿上,如果角度和位置合适,可以清晰地观察到隐藏于图像中的图文信息.在激光打印稿的防伪实验中,低分辨率的半色调图像(<600,dpi)的防伪效果明显好于高分辨图像的防伪效果;在印刷稿的防伪实验中,175,lpi 图像的防伪效果和颜色层次再现最佳;青、品红、黄、黑四色图像分别作为防伪母版,青版和品红版可获得较好的防伪效果;将图文信息隐藏在防伪母版的亮调和中间调部位防伪效果较好.     

A Novel One-Dimensional Projection Based Method for Fabric Texture Representation

Automated defect detection in woven fabrics for quality control is still a challenging novelty detection problem,while the efficient representation of fabric texture is essential for it.This paper presents a novel method for fabric texture representation.Benefiting from the characteristics of the weaving process,the major texture information of woven fabric is concentrated in the warp and weft directions.Thus,the proposed method is firstly to project the image patch along warp and weft directions to obtain projected vectors containing warp and weft informations.Secondly,the obtained vectors instead of image patch,are used to extract the features that are able to represent fabric texture.Finally,the t-test is applied to verifying the usefulness of the proposed method in discriminating defective and normal fabric textures.The experiments on various defective samples demonstrate that the method yields a robust and good performance in representing fabric texture and discriminating defects.     

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.