搜索资源列表
Cross-Correlation-Target-Image-Detection
- 基于互相关的图像匹配算法，可以在图像精确找到匹配图像！
shicha_match.rar
- 数字图像处理方面的，实现图像匹配的基本算法（相关系数法）,NCC(normalized cross correlation ）
MATLAB_Image_subpixel_Mutual_i
- MATLAB实现基于互相关的亚像素级图像配准源代码,MATLAB_Image_subpixel_Mutual_info,MATLAB-based cross-correlation of sub-pixel image registration source code, MATLAB_Image_subpixel_Mutual_info
15
- matlab 图像处理 显示两幅子图像的归一化互相关-matlab image processing show that two sub-image of normalized cross-correlation
MFCinteractiveDisplay
- 在MFC中显示图像，且可交互进行相关处理。-Display images at MFC, and can deal with cross-correlation.
Image-mosaic
- 图像拼接，利用互相关函数自动寻找匹配点。-Image mosaic, using cross-correlation function automatically find matching points.
tuxiangpinjiefa
- 一种全自动稳健的图像拼接融合算 提出了一种全自动稳健的图像拼接融合算法。此算法采用Harris角检测算子进行特征点提取,使提取的 精度达到了亚像素级,然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合,并运用稳健的 RANSAC算法将伪匹配点集合划分为内点和外点,在内点域上运用LM优化算法精确地估计出了图像间的点变 换关系,最后采用颜色插值对交接处进行颜色过渡。整个算法自动完成,它对有较大误差或错误的特征点数据迭代 过滤,并用提纯后的数据来做模型估计 -A ro
cross_correlation
- 关于图像配准中的交叉相关的实现，可以直接调用。-About Image Registration in the implementation of cross-correlation can be directly called.
Cross-Correlation-Target-Image-Detection
- 正交相关目标检测，采用正交相关方法检测指定目标在图像中的位置。适用于计算机视觉中的视频目标检测、视觉目标检测、目标定位、视觉目标跟踪、视频目标跟踪、图像匹配、图像配准等工作。-cross relation detection is used to detect object in image for in the field computer vision such as visual object detection, motion detection, object localization
MATLAB_Medical_Image_Process_Experiments
- MATLAB医学影像处理实验(内含14个原代码及教学的说明) (1)Plot a sine function using MATLAB, and write the data into a file (2)Read data from a file, plot a SINC function, and append the result back to the same file (3)Plot a Gaussian distribution using MATLAB (4)Fo
touying
- 二维投影相关法是基于二维投影的灰度相关匹配算法，主要利用匹配图像相邻像素的灰度值的大小关系 应该相同的原理进行图像匹配。该算法不仅大大减少了数据的维数，而且算法主要涉及（0,1）整数运算。与去均值 归一化互相关算法相比，其在保证匹配精度要求的前提下提高了匹配速度。 -Two-dimensional projection-related method is based on two-dimensional projection of the gray correlation match
Asimulationandevaluationsystemforimaginginterferom
- 针对星载的干涉型成像光谱仪提出了一种基于归一化互相关系数的光谱数据立方体重建质量的量化评价 方法 ,并以工程化的要求作为仿真背景条件 ,建立了一个通用仿真系统。通过仿真 ,证实了基于归一化互相关系数的成 像光谱仪数据立方体重建质量量化评价方法是可行的。-According to the demands of processing imaging interferometer data cubes , which come f rom the remote satel2 lites ,
image matching
- 实现了三种图像匹配算法 1：归一化互相关匹配算法 2：基于Hausdorff距离的图像匹配算法 3：图像不变矩匹配算法-Three matching algorithms to achieve 1: normalized cross correlation matching algorithm 2: the image matching algorithm based on Hausdorff Distance 3: Image Invariant Moment Matchin
correlCorresp
- 寻找相应的特点,在一副图片的基础是许多光流、立体的视觉和图像间的配准算法。一个发现匹配方法简单,取一小块一个图像,计算其滑动互相与其他的形象,并找到一个高峰。此表格提供了课堂的实现方法。-Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward app
ex_15_1
- 图像配准：选择图像需要配准的子区域，计算归一化互相关，通过它来确定图像配准的区域，显示配准后的图像。-Image registration: Select the image sub-region need registration, computing normalized cross-correlation, by which to determine the image registration area to show the image after registration.
image
- 一种改进的红外图像归一化互相关匹配算法，分析了传统归一化互相关算法在红外空中目标匹配定位时失效的原因,提出一种改进的红 外图像归一化互相关匹配算法. 该方法将模板和匹配区域之间的纹理相关计算看作一个最优化问 题，论文-An improved infrared image normalized cross correlation matching algorithms, analysis of the traditional normalized cross-correlation alg
xianguan
- 首先给图片添加噪声，然后实现图片的自相关和互相关！最后显示出来！-First, adding noise to the picture, and then realize the image autocorrelation and cross correlation! Finally displayed!
Mypic
- 采用模板匹配方法进行图像匹配，其中误差平方和测度经过归一化互相关处理。-Using template matching method for image matching, in which the error sum of squares measure through normalized cross correlation processing.
cross-correlation-subpixel
- 采用归一化互相关的算法进行图像匹配，经过测试非常有效-Normalized cross-correlation image matching, tested very effective
cross-correlation-subpixel
- 基于互相关的图像配准程序，能实现亚像素级的配准-Sub pixel level registration based on cross correlation image registration process