An image registration method based on multi-resolution morphology contour detection

Combined with the printing application, an image registration method based on the multi-resolution morphology contour detection was proposed. First, a direction based multi-resolution gray morphology in the scheme was proposed to realize the contour extraction. Then, based on the contour features, the subspace image registration was proposed to deal with issues of the computing complexity appeared in the traditional image registration methods. The proposed image registration was efficiently applied in the defect inspection of printing images.     

Constrained branch-and-bound algorithm for image registration

In this paper, the authors propose a refined Branch-and-Bound algorithm for affine-transformation based image registration. Given two feature point-sets in two images respectively, the authors first extract a sequence of high-probability matched point-pairs by considering well-defined features. Each resultant point-pair can be regarded as a constraint in the search space of Branch-and-Bound algorithm guiding the search process. The authors carry out Branch-and-Bound search with the constraint of a pair-point selected by using Monte Carlo sampling according to the match measures of point-pairs. If such one cannot lead to correct result, additional candidate is chosen to start another search. High-probability matched point-pairs usually results in fewer loops and the search process is accelerated greatly. Experimental results verify the high efficiency and robustness of the author's approach.     

Constrained branch-and-bound algorithm for image registration

In this paper, the authors propose a refined Branch-and-Bound algorithm for affine-transformation based image registration. Given two feature point-sets in two images respectively, the authors first extract a sequence of high-probability matched point-pairs by considering well-defined features, Each resultant point-pair can be regarded as a constraint in the search space of Branch-and-Bound algorithm guiding the search process. The authors carry out Branch-and-Bound search with the constraint of a pair-point selected by using Monte Carlo sampling according to the match measures of point-pairs. If such one cannot lead to correct result, additional candidate is chosen to start another search. High-probability matched point-pairs usually results in fewer loops and the search process is accelerated greatly. Experimental results verify the high efficiency and robustness of the author＇s approach.     

X射线图像和CT图像的投影配准

提出了一种基于Chamfer3-4距离变换和模拟退火优化的方法,用于X射线图像和CT图像间的配准．首先,建立一个初始化的几何变换矩阵．为了便于计算,通过X射线设备的几何模型重新建出变换矩阵．然后,通过定义三维投影和二维物体图像之间的距离,并且通过优化算法来使之达到最小．该方法同样被用于医学介入手术中,处理从三维图像工作站中获取的主动漫游数据．     

谈图像刚性配准的基本方法

研究了基于刚性变换的图像配准,特别针对图像的特征提出了一种在预处理的基础上的刚性配准方法,有很好的配准效果。为了提高配准的速度还讨论了基于交互的刚性配准方法。     

一种基于小波变换的多尺度图像配准算法

在研究传统Harris角点检测算法的基础上,结合小波变换的多分辨率特性,提出一种基于小波变换边缘检测与Harris角点检测的多尺度图像配准算法。该算法保持了Harris角点检测算法在图像旋转、缩放或灰度变化时角点提取效果依然良好的优点,改进了其对噪声敏感且不具有尺度不变性的缺点,在不同尺度上有较高稳定性与匹配精准度,抗噪性较强。     

An image retrieval system based on fractal dimension

INTRODUCTIONWiththerapiddevelopmentofthetechnologyofimagecollection ,storage,processionanddis play,digitalimagesarewidelyused (Zhangetal.,2 0 0 1 ) .However,itisdifficulttomanageahugeimagedatabase ,sothestudyoftheimagedatabasemanagementsystemandtheimagein…     

An image retrieval system based on fractal dimension

This paper presents a new kind of image retrieval system which obtains the feature vectors of images by estimating their fractal dimension; and at the same time establishes a tree-structure image database. After preprocessing and feature extracting, a given image is matched with the standard images in the image database using a hierarchical method of image indexing.     

不动产统一登记的影响分析

《不动产登记暂行条例》将于2015年3月1日开始正式施行。自此,我国将开始建立统一的不动产登记管理系统,实现不动产登记信息在各个政府部门和职能机构的互通互享。这一举措引起了各界的许多关注与热议,本文着重从公民,政府和社会三个层面分析了不动产统一登记管理系统建立后的影响并对当今不动产管理中存在的问题和阻力提出了一些政策建议。     

Graphic processing unit-accelerated mutual information-based 3D image rigid registration

Mutual information (MI)-based image registration is effective in registering medical images, but it is computationally expensive. This paper accelerates MI-based image registration by dividing computation of mutual information into spatial transformation and histogram-based calculation, and performing 3D spatial transformation and trilinear interpolation on graphic processing unit (GPU). The 3D floating image is downloaded to GPU as flat 3D texture, and then fetched and interpolated for each new voxel location in fragment shader. The transformed results are rendered to textures by using frame buffer object (FBO) extension, and then read to the main memory used for the remaining computation on CPU. Experimental results show that GPU-accelerated method can achieve speedup about an order of magnitude with better registration result compared with the software implementation on a single-core CPU.     

An algorithm for 3D shape matching using spherical sectioning

3D shape searching is a problem of current interest in several different fields. Most techniques are developed for a particular domain and used to reduce a shape into a simpler shape representation. The techniques developed for a particular domain will also find application in other domains. We propose a new shape matching method. The SSRD （spherical sectioning railroad diagram） algorithm has the general shape distribution＇s properties and overall features of the original model. The SSRD＇s useful properties are discussed. We show the experimental results for the validity of our method.     

一种基于互信息和梯度信息的医学图像配准算法

由于互信息不需要对图像进行预处理,因此被广泛地应用于医学图像配准中．但是,配准过程中的局部极大值难以克服．本引进了梯度信息,用于解决局部极值问题．并将这种方法应用到人体的非刚性形变的医学图像配准中．同时,给出了一些用于改进精度的方法,如：Powell搜索算法、灰度插值和出界点问题,提高了匹配精度．采用此方法对脑部和肺部的多模图像进行配准,实验结果表明该方法对非刚体医学图像的配准有很大的可行性．     

Jacquard image segmentation using Mumford-Shah model

INTRODUCTION Image segmentation plays an essential role in jacquard image analysis. A jacquard image consists of many complex patterns which contain detailed, in- tricate topological curves. An accurate extraction of pattern features from jacquard images promises reli- ability for jacquard fabric CAD. Although, many algorithms have been proposed for the segmentation problem, they have difficulty in capturing the com- plex structure of the visual features, such as complex contours of a ja…     

An efficient numerical shape analysis for light weight membrane structures

The determination of initial equilibrium shapes is a common problem in research work and engineering applications related to membrane structures. Using a general structural analysis framework of the finite particle method （FPM）, this paper presents the first application of the FPM and a recently-developed membrane model to the shape analysis of light weight mem- branes. The FPM is rooted in vector mechanics and physical viewpoints. It discretizes the analyzed domain into a group of parti- cles linked by elements, and the motion of the free particles is directly described by Newton＇s second law while the constrained ones follow the prescribed paths. An efficient physical modeling procedure of handling geometric nonlinearity has been developed to evaluate the particle interaction forces. To achieve the equilibrium shape as fast as possible, an integral-form, explicit time integration scheme has been proposed for solving the equation of motion. The equilibrium shape can be obtained naturally without nonlinear iterative correction and global stiffness matrix integration. Two classical curved surfaces of tension membranes pro- duced under the uniform-stress condition are presented to verify the accuracy and efficiency of the proposed method.     

Exploiting multi-context analysis in semantic image classification

INTRODUCTION The popularity of digital images is rapidly in- creasing due to improving digital imaging technolo- gies, and convenient availability facilitated by the Internet. Organizing these images into categories and providing effective indexing is imperative for real- time browsing and retrieval. Typically, existing im- age classification work such as that of Vailaya et al.(2001) follows the paradigm of content-based im- age retrieval (CBIR) technologies, i.e., representing images u…     

常用图像去噪方法探析与比较

均值滤波、中值滤波、维纳滤波和基于小波变换的软阈值法和硬阈值法是常用的几种图像去噪方法,通过对添加了不同噪声的图像进行了仿真实验。实验结果进一步验证了均值滤波在去除噪声的同时造成了图像边缘一定程度的模糊,中值滤波能相对较好的保留了图像的边缘,维纳滤波对高斯白噪声去噪效果较好但计算量大,相比较小波阈值法去噪是目前较好的的去噪方法,通过选取合适的阚值可以得到较为理想的去噪效果。     

白居易诗歌与“云”有关的意象词语的语言分析

对白居易诗歌中与云有关的意象词语进行语言分析,意在从语言研究的角度挖掘或阐释这些意象词语背后的隐含意义,揭示其间融入的人文因素和文化积淀,从而为汉语词汇史研究的新思路作出尝试。     

基于形体分析法 利用“图话”绘制复杂机件剖视图

熟练掌握剖视图的绘制,是制图教学的重要内容之一.通过教学实例,提出了一种基于形体分析法的,利用图话绘制复杂机件剖视图的方法.使用该方法,可以规范、准确地进行剖视图绘制,绘制过程符合人们的思维习惯和逻辑顺序.