搜索资源列表
411
- 矩阵中的每一个元素称为像元、像素或图像元素。而g(i, j)代表(i, j)点的灰度值，即亮度值。 由于g (i, j)代表该点图像的光强度（亮度），而光是能量的一种形式，故g (i, j)必须大于零，且为有限值，即： 0＜=g (i, j)＜2n。 用g (i, j)的数值来表示(i, j)位置点上灰度级值的大小，即只反映了黑白灰度的关系。 数字化采样一般是按正方形点阵取样的， -each of the matrix e
subcornerfinder
- 亚像素角点定位函数代码,输入参数为角点像素级粗略坐标,输出精确的亚像素级角点坐标-corner subpixel positioning function code, the input parameters for the corner pixel rough coordinates, Output precision Subpixel corner coordinates
efficient_subpixel_registration
- MATLAB实现基于互相关的亚像素级图像匹配/配准源代码Free Source Code for Efficient subpixel image registration by cross-correlation-MATLAB-based cross-correlation of sub-pixel image matching/registration Source Code Free Source Code for Efficie
Keren
- 一种高精度匹配算法，精度可达亚像素级，角度误差可达0.1度-A high-precision matching algorithm, Aceh-pixel accuracy, angle of error of up to 0.1 degrees
MATLAB_Image_subpixel_Mutual_info
- 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
image
- MATLAB实现基于互相关的亚像素级图像匹配配准源代码-MATLAB-based implementation of inter-related sub-pixel image matching with prospective source code
MyPixelFusion
- 这是像素级融合的源代码，对于研究图像融合的专家有重要参考价值-this is the source code of the pixel level fusion
efficient_subpixel_registration
- 此程序是基于互相关的亚像素级图像匹配的代码，此种配准方法误差小，精度高。-This procedure is based on the cross-correlation of sub-pixel image matching of the code, such a registration method error and high accuracy.
Distributed-SAR
- 分布式合成孔径雷达成像仿真，包含像素级配准。-Distributed Simulation of synthetic aperture radar imaging, including pixel-level registration.
juCCDpxg
- 本文介绍一种新颖的基于灰度积分的十字叉丝位t确定的方法，可以达到亚像素级精度，具有运算简便、适用性强、移植性好等特点。 -This paper presents a novel based on gray silk-bit integral cross fork t identified methods to achieve sub-pixel precision, with simple operation, applicabil
PCA
- 关于PCA图像融合的详细资料，像素级图像融合技术的研究与进展，应用主成分分解PCA法的图像融合技术-The pca image details of the integration of the image of a united and progress, the application of the main ingredients into the image of technology convergence pca
PixelFusion
- 基于像素级的图像融合，适合于图形处理的初学者学习参考-Pixel-based image fusion, image processing suitable for beginners to learn information
circle
- 该程序能对图片进行像素级，亚像素级别图像处理，并对多条轮廓进行圆心拟合，计算各自圆心坐标，方便快捷，坐标数值以及处理后的图像均能保存~~ -The program can be pixel image, sub-pixel level image processing, and the number of contour fitting center, center coordinates of each calculation, co
multi-source-image-fusion
- 光源光谱图像融合及其研究。。图像融合。预处理。像素级融合，特征级融合-research on multi-source image fusion method and its appliacation
Harris
- 基于Opencv和C++, 使用harris算法， 对输入视频，提取亚像素级角点的个数和坐标。-base on Opencv and C++, using Harris algorithm, output the subpixel corners number and coordinate of video.
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
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.)
SLIC
- 把一幅原本是像素级的图，划分成区域级的图。(A map that is originally a pixel level, divided into a map of the regional 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)
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