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Raw
- 本程序能够实现RAW文件和BMP图像的均衡化处理，RAW文件转化为BMP，图像缩放（最近邻差值方式、双线性插值、三次B样条插值），两幅图像的相似度比较-This procedure can be achieved RAW image files and BMP balanced treatment, RAW files into BMP, image scaling (the margin nearest neighbor approa
MatlabFFT
- Matlab_基于FFT的图像配准 粗估算两幅图像之间的平移差，返回水平方向平移差到xtran，返回垂直方向平移差到ytran 用在图像配准中的粗匹配中，对噪声、图像中物体发生运动等极为鲁棒！-FFT-based Matlab_ Image Registration rough estimate of the translation between two images, poor, poor translation to r
stereo
- 立体匹配的源码，可以计算两幅图像的视差，并可以做简单的重建。-Stereo matching of source code, can be calculated two parallax images, and can be easy to do the reconstruction.
disp_fig
- 采用通过提取图像的边缘特征对两幅图像配准，并采用双线性插值算法来提高配准精度。用于两幅图像间变化不大的配准。-Adopted through the extraction of image edge characteristics of two image registration, using bilinear interpolation algorithm to improve registration accuracy. Betw
wavefusionagrithom
- 小波融合算法，提供了一个实现两幅图像融合的小波算法-wave fusion agrithom
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- 计算两幅图像的SNR信噪比的源代码MATLAB版-Calculation of two images PSNR peak signal to noise ratio of the source code version of MATLAB
efficient_registration
- 利用傅里叶变换，在频域上对两幅图像配准，是一种比较配准的新方法，但是对弹性配准的效果不是很好 需要进一步的研究。-Registers two images (2-D rigid translation) within a fraction of a pixel specified by the user. Instead of computing a zero-padded FFT (fast Fourier transform), t
IHS_use
- 用经典的IHS算法，实现两幅图像的融合，适用于遥感图像处理领域。-IHS using the classic algorithms, implementation of the integration of two images for the field of remote sensing image processing.
IMGReg
- 基于VC++实现基于特征的图像配准,并将两幅图像拼接,合成一幅图像.-VC++ implementation based on Feature-based image registration, and two image mosaic, composite image.
XBPJ_LRY
- 图像拼接技术,可实现垂直方向有相同列的左右两幅图像。图像拼接算法,对图像亮度等变化鲁棒性较强-Image mosaic technology, vertical column around the same two images. Image mosaic algorithm, such as changes in brightness of the image are highly robust
IMGReg
- 图像配准是对取自不同时间,不同传感器或者 不同视解的同一场景的两幅图像或者多幅图像匹配的过程,它被子广泛应用在遥感图像/三维重构/机器人视觉等领域.下面是利用VC++来实现图像的配准源程序.-Image registration is a different time from different sensors or different solutions of the same scene as the two images or
CornerExtracted
- 基于OpenCV的图像特征点提取，并有效实现两幅图像的特征点匹配，在VC++6.0下调试通过，可以运行。-OpenCV based on extraction of image feature points and effectively achieve the two images to match the feature points, in VC++6.0 under the debugger through, you can r
sift-match
- sift特征点提取代码和对两幅图像提取特征点后进行特征点匹配，可用于图像拼接等。c和matlab代码都有-sift feature point extraction code and the two images after the extraction of feature points matching feature points that can be used, such as image stitching. both c
fm_gui_v2
- 基于傅立叶－梅林变换的matlab编写的配准系统，运行fm_gui.m后即出现演示界面，左侧的两个图形框选择待配准的两幅图像，图像可以进行缩放旋转变换。右侧的列表框"Window"下可以选择滤波窗，"Rotation"、"Scale"、"Log-polar"可分别选择旋转、缩放、以及对数极坐标变换所用的插值方法，按键"REGISTER"下的滑动 键可选备选的峰值点总数，点击"REGISTER"按键， 对应的下方图形框即显示配准后
SIFT-matlab
- 基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-SIFT-based image registration procedure is the SIFT feature matching algorithm for matching feature
3Drebuild
- 由两幅图像通过OpenCV进行摄像机标定 之后再进行三维重建-By the two images through the OpenCV for camera calibration after three-dimensional reconstruction
imagefusion
- 图像融合处理，实现两幅图像小波变换后的图像融合操作-Image fusion processing, and two images after the wavelet transform image fusion operation
ncc
- 由两幅图像匹配，进行合成，Harris提取特征点，匹配速度快-From the two images match, were synthesized, Harris feature point extraction, matching speed and
PIPEI
- 图像匹配是三维重建中的一个关键部分。在立体视觉中，为了得到空间一点的三维几何信息，需要从不同的视点方向获取的两幅(或者多幅)图像中正确找到这一个点在不同的图像中的投影点，这一个过程就叫做图像匹配(mIageMatchnig).所以图像匹配是立体视觉系统的核心，也是实现图像理解的基础。 。 -Three-dimensional reconstruction of the image matching is a key part o
picture
- 基于灰度的两幅图像配准算法，两个程序，可以实现相关系数和PFC算法-Based on Gray' s two image registration algorithm, the two procedures, the correlation coefficient can be achieved and the PFC algorithm