基于Chain Boosting算法的棉纤维检测

为了更好的对混纺纤维中的棉纤维进行含量分析和质量评估,提出了一种棉纤维检测的方法,此方法使用Chain Boosting算法来提高检测的正确率.预处理棉纤维的横截面图,把体现棉纤维的特征的指标从纤维横截面图像中提取出来(包括轴度,复杂度等);然后利用训练好的BP网络作为弱学习算法,使用每一个Boosting分类器学习的历史信息,基于线性回归特征消除(RFE)策略,消除冗余,据此判别一幅纤维截面图像是否为棉纤维截面图像.实验结果表明,该方法实用有效,对检测的正确率有较大幅度的提高.     

基于棉纤维截面图像的改进型Canny边缘检测

针对棉纤维截面图像的边缘检测,对Canny边缘检测算子提出改进。在边缘跟踪算法中,引入边缘长度L和边缘分叉间平均间隔（像素数）L两个概念,在边缘跟踪算法中进行边缘类型评估。改进后的Canny边缘检测算子与传统Canny边缘检测算子相比,在同等实验条件下,确保了相同棉纤维边缘检出率的同时,更好地抑制了噪声引起的伪边缘输出。     

异性棉纤维智能检测和除杂方法研究

文中在研究国内外异性棉纤维检测方法的基础上提出智能异性棉纤维检测和除杂系统。该系统主要有智能机器视觉、智能反馈、智能除杂等三个重要环节,智能机器视觉是利用不同异性纤维在不同波段的光谱特征通过智能图像融合提取杂质信息,智能反馈系统主要是根据检测信息智能处理反馈信号,智能除杂系统主要针对杂质的分布情况智能处理各喷头的风力。同时采用复杂适应系统理论解决多智能体之间的协同配合问题。实验结果表明该方法能大大提高检测效率和除杂精度。     

异性棉纤维智能检测和除杂方法研究

文中在研究国内外异性棉纤维检测方法的基础上提出智能异性棉纤维检测和除杂系统。该系统主要有智能机器视觉、智能反馈、智能除杂等三个重要环节,智能机器视觉是利用不同异性纤维在不同波段的光谱特征通过智能图像融合提取杂质信息,智能反馈系统主要是根据检测信息智能处理反馈信号,智能除杂系统主要针对杂质的分布情况智能处理各喷头的风力。同时采用复杂适应系统理论解决多智能体之间的协同配合问题。实验结果表明该方法能大大提高检测效率和除杂精度。     

关于热转移印花的工艺探讨及前景分析

介绍热转移印花技术的概念和优点,并通过叙述目前棉纤维热转移印花的几种方法,对棉纤维织物热转移存在的问题及前景进行了分析.     

遮挡物体移除与图像纹理修补方法

以基于样例修补的目标移除方法为基础,改进了基于样本块的图像纹理修补方法.首先将抠像技术应用到目标物的提取过程中,然后使用图像分割的方法实现了分区修补的目的.改进后的方法能够更好地还原图像的线性特征并且减少图像修补的时间.在此基础上,根据不同角度的图像可以提供更加丰富的修补信息这一思想,进一步提出一种基于多幅图像的修补方法,并取得了更高质量的修补效果.实验结果表明,该方法不仅能够准确地提取并移除图像上不需要的物体,而且能够有效地修补图像受损区域的纹理和结构.     

基于模糊加权SVM的SAR图像水体自动检测

提出一种SAR图像水体自动检测方法。该方法采用树型小波对SAR图像进行分解,提取样本图像与待检测图像的中频信息,并进行纹理分析,利用模糊加权支持向量机对样本图像的纹理进行训练,从而获得判别水体的决策函数,通过该决策函数能够检测出图像的水体区域。该方法结合了图像的灰度与纹理信息,减少了SAR图像中的噪声影响,能够适用于大幅面范围的SAR图像水体自动检测。     

基于POS系统的无人机遥感图像融合方法的研究与实现

根据无人机遥感图像像幅小、几何畸变大、图像配准精度低等特点,提出采用最佳缝合线融合方法对无人机遥感图像进行融合。试验对30张无人机遥感图像序列进行了融合测试,结果表明这种融合方法能够很好地应用到无人机遥感图像的融合中,不仅可以有效地消除拼接线,而且能够避免"鬼影现象",使合成图像的整体目视效果得到了大幅提高。     

一种改进的二进小波变换图像去噪方法

本文在分析图像噪声消除与细节保持相矛盾的基础上,提出了一种改进的二进小波变换图像去噪方法。首先用自适应滤波多尺度边缘检测方法检测出图像的边缘;然后用二进小波变换去噪方法进行全局闯值去噪;最后将边缘图像嵌入到二进小波去噪后图像。实验结果表明,该方法不仅能够滤除图像的噪声,而且能够保持图像的边缘信息。     

一种改进的车牌图像二值化方法

讨论了图像阈值分割方法,提出了改进的Bernsen图像分割方法,并用VC 进行了仿真,该方法能够有效实现文本图像的分割,可以有效避免字符的伪影以及断裂,适合汽车牌照图像二值化。     

Repairing Inconsistent Curve Networks on Non‐parallel Cross‐sections

In this work we present the first algorithm for restoring consistency between curve networks on non‐parallel cross‐sections. Our method addresses a critical but overlooked challenge in the reconstruction process from cross‐sections that stems from the fact that cross‐sectional slices are often generated independently of one another, such as in interactive volume segmentation. As a result, the curve networks on two non‐parallel slices may disagree where the slices intersect, which makes these cross‐sections an invalid input for surfacing. We propose a method that takes as input an arbitrary number of non‐parallel slices, each partitioned into two or more labels by a curve network, and outputs a modified set of curve networks on these slices that are guaranteed to be consistent. We formulate the task of restoring consistency while preserving the shape of input curves as a constrained optimization problem, and we propose an effective solution framework. We demonstrate our method on a data‐set of complex multi‐labeled input cross‐sections. Our technique efficiently produces consistent curve networks even in the presence of large errors.     

ECT系统中三维图象重建的研究

论文讨论了在ECT系统中利用二维断层图象进行三维表面重建的方法。首先对二维断层图象序列进行抽取轮廓、细线化、轮廓线追踪处理;然后对两相邻断层图象进行轮廓匹配;在两层已知(重建)图象轮廓中间插入若干个插值图象时采用同经度方向位置校准轮廓加权平均方法获得插值轮廓;最后在相邻的已知轮廓或插值轮廓采用最短对角线法进行三角片表面重建。仿真结果表明,利用上述方法可以较好地重建物体的三维表面。     

流量装置流量稳定性数值仿真评价方法研究

为了提高装置流量稳定性,提出基于计算流体动力学（ CFD）仿真,采用轴向动量数KU、旋流数KV 和不对称数KA ,分析管路不同截面位置的流场速度特征,利用多个截面位置的特征参数变化,评价装置管路的流量稳定性。对新建水装置流量稳定性进行数值仿真分析与实验测试,得出一致性结论。该方法可以在装置设计阶段,对流量稳定性进行评价,从而优化管路结构,提高装置流量稳定性。     

Modeling of female human body shapes for apparel design based on cross mean sets

This paper is concerned with a method to build prototypes of human bodies that can be used for apparel design. One of the most important issues in the apparel development process is to define a sizing system to provide a good fitting for the majority of the population. Since anthropometric measures do not present the same linear growth with size in each dimension, it is very important to find a prototype that represents as accurately as possible each class in the sizing system. In this paper we propose a method based on the concept of random compact mean set to define prototypes in apparel design. From a cloud of 3D points obtained with a 3D scanner a solid that represents the human body is obtained. 2D cross sections of this solid are extracted at certain heights corresponding to key points of the body. These different cross-sections can be seen as a realization of a random compact set in the plane. A very popular definition on mean set is applied to each sample of 2D cross sections, and finally the prototype is obtained as the 3D reconstruction of these 2D mean sections. As a real example, the proposed methodology is applied to the 3D database obtained from a anthropometric survey of the Spanish female population conducted in this country in 2006.     

The centrifugal sudden distorted wave method for calculating cross sections for chemical reactions: Angular distributions for Cl + HCl → ClH + Cl

We describe a method for calculating cross sections for atom plus diatom reactive collisions based on the centrifugal sudden distorted wave (CSDW) approximation. This method is nearly exact at low energies where reactive cross sections are small. Representative CPU times are given for applications of the CSDW method to the Cl + HCl → ClH + Cl reaction using CDC 7600, Cyber 176, Cyber 205, Cray X-MP and Cray-2 computers. We also present differential cross sections for the Cl + HCl reaction and apply a simple semiclassical model which relates these cross sections to the partial wave reaction probabilities, and to the energy dependence of the reaction probabilities for zero total angular momentum. This model explains why the differential cross sections are backward peaked, and why the oscillatory cross sections seen in earlier, more approximate infinite order sudden calculations are not found in the present results at low energy.     

密集堆叠下的高相似度木块横截面检测

快速有效地检测和获取木块横截面信息,是提升木块生产交易效率的关键。由于木块往往被密集堆叠、木块横截面相似度高且边界不明显,给检测木块横截面信息带来了较大的挑战。针对密集堆叠下的高相似度木块横截面检测困难,本文提出了简单高效的Wood R-CNN网络模型,通过改进模型的损失函数和非极大值抑制算法来提升检测精度,简化网络结构和改进特征金字塔网络来保证检测速度。实验证明:该模型可在密集堆叠情况下精确地检测高相似度木块横截面,检测速度较快且鲁棒性良好,可实际运用于木块生产和交易中。     

基于双平面正交投影重建血管截面的新方法

提出了一种利用双平面正交投影重建血管截面的方法,该方法中应用加权距离作为度量相邻截面相似性的测度,并通过对网流理论中最小费用流算法的改进来最优化该相似性测度,在此基础上还引进截面连通性约束,利用随机数来获得最连通截面,实验结果表明应用该方法可以得到在投影约束下与给定模型最相似最连通的截面。     

A novel fabrication method based on an after thermal oxidation process for the realization of silicon-beams with normative polygon cross sections shapes

This paper presents a novel method to obtain structures with normative polygon cross section (PCS) shapes in a single crystal silicon substrate. A combination of wet etching and an after thermal oxidation (ATO) technique was used to fabricate several novel, complex structures with PCS shapes, which can hardly be fabricated by traditional wet etching. Based on such an innovative method, this paper proposes and develops three varieties of PCS silicon-beams. The subsequent experiment of fabricating silicon-beams with hexagonal sections has been taken as an example to validate the technique principle. Furthermore, the dimension parameters of the fabricated structures have been tested. Through this novel fabrication method, the sidewall arris of the fabricated silicon-beams can be maintained due to the protection of the ATO SiO₂ layers, the arris disfigurement of the silicon-beam decreases dramatically and the quality of the silicon-beam is improved greatly.     

Monotonic sequences for image enhancement and segmentation

Both image enhancement and image segmentation are important pre-processing steps for various image processing fields including autonomous navigation, remote sensing, computer vision, and biomedical image analysis. Both methods have their merits and their short comings. It then becomes obvious to ask the question: is it possible to develop a new better image enhancement method which has the key elements from both segmentation and image enhancement techniques? The choice of the threshold level is a key task in image segmentation. There are other challenges of image segmentation. For example, it is very difficult to perform the image segmentation in poor data such as shadows and noise. Recently, a homothetic curves Fibonacci-based cross sections thresholding has been developed for the de-noising purposes. Is it possible to develop a new image cross sections thresholding method, which can be used for both segmentation and image enhancement purposes? This paper a) describes a unified approach for signal thresholding, b) extends cross sections concept by generating and using a new class of monotonic, piecewise linear, sequences (slowly or faster growing than Fibonacci numbers) of numbers; c) uses the extended sections concept to the image enhancement and segmentation applications. Extensive experimental evaluation demonstrates that the newly proposed monotonic sequences have great potential in image processing applications, including image segmentation and image enhancement applications. Moreover, study has shown that the generalized cross techniques are invariant under morphological transformations such as erosion, dilation, and median, able to be described analytically, can be implemented by using the look up table methods.     

基于主S-N曲线的带止裂槽焊接接头疲劳寿命预测及改进

以带止裂槽焊接接头为研究对象,提取可能发生疲劳失效的焊趾截面、焊喉截面和止裂槽截面的节点力,基于主S N曲线法求解截面的等效结构应力,评估焊缝的疲劳寿命,并提出改进接头的建议。分析发现：止裂槽的存在会显著增加局部位置的应力,导致疲劳寿命明显降低。填充止裂槽并适当增大水平方向焊脚尺寸,可以提高该位置疲劳寿命10倍左右。