搜索资源列表
matcher
- 自己写的两副图像的特征点匹配，其中用了opencv类库，功能包括：特征点的亚像素精度检测，特征点初始匹配，基本矩阵计算及对极约束引导匹配等。-himself wrote the two images and matching feature points, which used the OpenCV library, features include : the feature points subpixel accuracy test
SpacialMomSquareMask
- 边缘提出:空间矩亚像素边缘提出原函数(9X9模板).具有很高的边缘检测精度.-Edge : Moments space subpixel edge original function (Frankfurt template). high edge detection accuracy.
MPEG4mc
- MPEG4运动补偿的亚像素内插过程, XIEDE HAO-MPEG4 motion compensation within the sub-pixel interpolation process XIEDE HAO
LSM_Match
- 最小二乘匹配，图像匹配算法，需要初始匹配坐标，可以达到亚像素精度-least squares matching, image matching algorithm, the initial need to match coordinates, can reach sub-pixel accuracy
sub-pixel
- 常用的几种亚像素定位方法，精度可达0.05个像素-several commonly used methods for locating subpixel accuracy of up to 0.05 pixels
bianyuanjiance456
- 数字图像处理中亚像素边缘检测的相关文献，很有用的-Central pixel digital image processing edge detection literature, very useful
subpixelEdgeDetection
- matlab 写的提取图像亚像素边界的程序，和Canny算子有比较，里面有两张示例图像！-matlab write the image to extract sub-pixel border procedures, and the Canny operator have more, there are two examples of images!
003935699yaxiangsuweiyiguji
- 亚像素位移快速匹配方法的代码实现，可以精确到亚像素运动估计。也是图像超分辨率重建的一个重要内容-Fast sub-pixel displacement matching method code can be accurate to sub-pixel motion estimation. Image super-resolution reconstruction is an important element of
calculation
- 文中提出的亚像素级角点检测方法定位精度高，摄像机标定试验中，得到的重影平均偏差小于0.15个像素。-In this paper, sub-pixel corner detection method for high precision positioning, camera calibration test, the average deviation obtained ghosting is less than 0.15 pixels
插值法亚像素图像边缘检测程序
- opencv 插值法 图像边缘检测 VC++2008
MATLAB图像配准程序
- 使用分离傅里叶变换的方法进行亚像素的图像配准(Subpixel image registration is performed using the method of separated Fourier transform)
BaseZernike1
- 基于Zernike 正交矩的图像亚像素边缘检测的改进算法(sub-pixel based on Zernike)
EdgeDetecion
- 亚像素边缘检测，基于zernike 灰度矩，实现精度可达0.05个pixel(sub-pixel edge detect)
Zernike
- 改进的基于Zernike正交矩的图像亚像素边缘检测，对图像的边缘实现亚像素级别的检测。(Improved subpixel edge detection based on Zernike orthogonal moments, and realizes sub-pixel level detection on the edge of image.)
speckle
- 用相关搜索法和曲面拟合算法计算图像的位移，精确到亚像素级。(The displacement of the image is calculated by correlation search method and surface fitting algorithm, which is accurate to sub-pixel level.)
外文原文
- 提出一种关于G-lets的边缘检测算子，可以高效的检测边缘，达到亚像素级(G-lets edge detection)
Zernike
- 亚像素的边缘检测，基于zernike矩的亚像素边缘检测(Zernike sub-pixel edge detection, through the 7*7 coefficient template to achieve sub-pixel edge detection moments of simple improvement.)
85375563DSCM_v1.0
- 曲面拟合法是一种高精度、计算量小、抗噪性能强的方法，当前已被广泛地应用于 各种场景。比如岩石材料的变形测量、电子器件变形的测量、基于掌纹图像相关匹 配的重复定位技术等。曲面拟合法能够成功计算出亚像素位移的前提是整像素搜索阶 段可以正确搜索出模板的整像素匹配点，一旦整像素匹配点搜索出现错误，那么亚像素 测量阶段所得到的位移距离就会失去意义。 使用不同的拟合函数对相关系数矩阵进行曲面拟合，会对结果产生一定的影响，比 较常用的拟合
define_corr
- 数字图像相关方法求正像素位移并用N-S方法求亚像素位移(Digital image corelation)
亚像素级角点检测
- 角点通常被定义为两条边的交点，或者说，角点的局部邻域应该具有两个不同区域的不同方向的边界。角点检测(Corner Detection)是计算机视觉系统中获取图像特征的一种方法，广泛应用于运动检测、图像匹配、视频跟踪、三维重建和目标识别等，也可称为特征点检测(Using the edge of the damaged area, i.e. the color and structure of the edge, the informati