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Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
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Size: 486459 |
Author: 刘长乐 |
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Description: %This is a simple function that resamples the image
%at a different pixel size
function nimg = imresample(oldpixsize,img,newpixsize,intmethod)
% This function resamples the images at the new grid points
% defined by the new pixel sizes. It assumes that intensities are
% defined at pixel centers
%
% img : original image to be resampled
% nimg : newly sampled image
% oldpixsize : a vector of the form [xpixsize, ypixsize]
% for the original image, e.g., [0.5,0.5]
% newpixsize : is a vector of the form [xpixsize, ypixsize]
% for the new image, e.g., [0.2,0.2]
% intmethod: same as interp2
% 'nearest' - nearest neighbor
% 'linear' - bilinear
% 'cubic' - bicubic
% 'spline' - spline
% Example:
%
% % Create a 2D gaussian function
% H = fspecial('gaussian',[31,31],5);
% % Resample it at a smaller pixel size
% NH = imresample([1,1],H,[0.2,0.2],'spline');
% figure;subplot(211);imshow(H,[]);title('Original');
% subplot(212);imshow(NH,[]);
% title('Resampled using spline interplolation');
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Size: 1714 |
Author: whitewalter |
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Description:
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Size: 409600 |
Author: 李子 |
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Description: 非刚性强壮点匹配图像配准。用于医学图像配准。thin plate splines robust point matching.-nonrigid strong point matching image registration. For the medical image registration. Thin plate spline robust point matching.
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Size: 46080 |
Author: Jing Fan |
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Description: This toolbox provides some functions for manipulating planar, closed splines to implement image or video segmentation by means of deformable (or active) contours. Contour topology is managed in a way that should allow changes similar to what can be observed with level sets (merging and splitting but no hole creation). Several objects can be segmented simultaneously in several frames. -This toolbox provides some functions for m anipulating planar. closed spline to implement image or video segm entation by means of deformable (or active) con tours. Contour topology is managed in a way that should allow changes similar to what can be obse rved with level sets (merging and splitting but no hole creation). Several objects can be segme nted simultaneously in several frames.
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Size: 162816 |
Author: zhuboy |
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Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
Platform: |
Size: 486400 |
Author: 刘长乐 |
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Description: Lee的经典的多分辨率B样条拟合方法（multi-level B-spline fitting）的VC源代码。广泛应用于图形图像处理，CAD等领域。-Lee s classic multi-resolution B-spline fitting method (multi-level B-spline fitting) of the VC source code. Widely used in graphic image processing, CAD and other fields.
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Size: 2721792 |
Author: yangocean |
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Description: 实验内容：
1．求下列3个模板的频率响应，并显示其三维图形；选择一幅图
像，利用这3个模板分别对该图像进行卷积运算，将卷积运算
获得的图像与原始图像进行比较，说明各模板的类型以及模板
（b）、（c）的区别与联系。
2. 选择一幅图像，对其进行离散Fourier变换，仅利用其相位谱重构原图像，然后仅利用其振幅谱重构原图像，比较实验结果；
选择两幅不同类型的图像，分别进行Fourier变换，交换二者的相位谱后求Fourier反变换，比较实验结果，说明图像Fourier相位谱的重要性。-Experimental contents: 1. Template for the following three frequency response and to show its three-dimensional graphics select an image using the three templates, respectively, of the image convolution operation, the convolution operation to obtain the images were compared with the original image to illustrate the template the type of template (b), (c) the difference with the contact. 2. Select an image, its discrete Fourier transform, only to use its phase spectrum remodeling the original image, and then only the use of its amplitude spectrum reconstruction of the original image to compare experimental results choice of two different types of images, respectively Fourier Transform, the exchange between the two after the phase spectrum for Fourier Transform, compare experimental results to illustrate the image of the importance of Fourier phase spectrum.
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Size: 1024 |
Author: syq |
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Description: 基于小波的一些程序，包括图像去噪、样条函数和子带编码。-Some wavelet-based procedures, including image denoising, spline functions and subband coding.
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Size: 109568 |
Author: |
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Description: 基于二值化与样条插值的文字图片压缩方法基于二值化与样条插值的文字图片压缩方法-Binarization Based on Spline Interpolation and the text image compression method based on binary and text spline image compression method
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Size: 3171328 |
Author: linxinming |
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Description: 二维插值的应用。二维插值主要应用于图像处理和数据的可视话。主要方法有：最邻近插值；双线形插值；三次样条插值等方法。该源码可以看出其中区别。-Application of two-dimensional interpolation. Two-dimensional interpolation is mainly used in image processing and visualization of data words. Main methods are: the nearest interpolation double linear interpolation cubic spline interpolation and other methods. The source can be seen the difference between them.
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Size: 1024 |
Author: meng wei |
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Description: 本文通过比较第一代和第二代小波算法特点,引入二代小波提升结构的概念,提出了一种基于二代小波提升结构的快速图像边缘检测算法 对三次B样条小波基实现提升格式,通过计算大尺度下分解子图的模值和幅角来确定边缘 经过实验比较,能比经典的边缘检测算法得出更精确的边缘图像,同时通过与基于第一代小波算法的边缘检测比较,基于二代小波提升格式的边缘检测算法计算更快速,更高效。-In this paper, by comparing first-and second-generation wavelet algorithm features, the introduction of second generation wavelet to enhance the concept of structure, a second generation wavelet-based structure to enhance the rapid image edge detection algorithm on the three B-spline wavelet lifting scheme to achieve through Calculation of large-scale mold subgraph decomposition value and increase the edge angle to determine the experimental comparison, than the classical edge detection algorithm to draw a more accurate edge image, at the same time with the first generation of wavelet-based edge detection algorithm comparison, based on the Second generation wavelet lifting scheme edge detection algorithm is faster and more efficient.
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Size: 416768 |
Author: 赵丽娜 |
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Description: Fast computation of a discretized thin-plate smoothing spline for image data
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Size: 3072 |
Author: 聂建辉 |
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Description: 三次样条插值 MATLAB编程 可直接会出图像并输出样条函数-Cubic spline interpolation can be directly MATLAB programming will be the image and the output spline function
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Size: 10240 |
Author: niyang |
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Description: 采用VC++编写，实现快速傅立叶变换、样条插值等图像处理算法。-Used VC++ Prepared realize fast Fourier transform, spline interpolation and other image processing algorithms.
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Size: 2681856 |
Author: 高旭 |
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Description: 非刚性图像配准算例，包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。
非刚性配准是当前应用最多的配准方法，用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimization, 3D affine registration algorithm, etc.. Non-rigid registration is currently the most widely used registration methods used to deal with a greater displacement of registration problems
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Size: 245760 |
Author: zhangji |
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Description: digital image interpolation techniques including nearest neighbor, bilinear, bicubic and spline interpolation. - digital image interpolation techniques including nearest neighbor, bilinear, bicubic and spline interpolation.
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Size: 1024 |
Author: mustafa |
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Description: 基于b样条的弹性图像配准程序
matlab实现-B-spline-based elastic image registration procedures for the realization of matlab
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Size: 543744 |
Author: |
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Description: 双三次样条插值算法代码，做图片的放大缩小可参考，代码写得不错。-Bicubic spline interpolation algorithm code, so refer to zoom the image, the code is well written.
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Size: 12288 |
Author: 天羽忍 |
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Description: spline插值函数，可改变为spline函数，有助于spline图像插值算法解决-spline interpolating function, you can change the spline function helps spline image interpolation algorithm to solve
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Size: 2048 |
Author: 陈晓宇 |
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