搜索资源列表
用opencv类库两副图像的特征点匹配
- 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。matcher.rar网上的都是有错误，而且缺少类库，我把错误改正了，把所有需要的类库都加上了，现在已经编译通过，保证能运行！希望大家喜欢,2 points, matching the characteristics of images, which used the opencv library, features include: Feature Point D
raw
- 读取和写入raw格式图像，此格式图像文件存储一幅图中的全部像素点，并以每个像素点16bit数据保存-read and write a raw format 16-bit image
yaxiangsu
- 双向亚像素运动估计算法，具体步骤如下： (1) 进行整像素精度的双向运动估计； (2) 以(1)得到的运动矢量所指向的像素点为中心，内插1/2像素点，再进行双向运动估计； 依此类推，直到得到所需的像素精度为止。 -Bi-directional sub-pixel motion estimation algorithm, concrete steps are as follows: (1) for the whole two-pixel accuracy motion estima
Colorimagecolorcomponentinter-exchange
- 全彩色图像的色彩分量间互换。对于彩色图像，图像的颜色是由每个像素点的RGB三分量的组合决定的。本实验的实验目的就是通过调整图像像素点RGB三分量的顺序来进行图像红、绿、蓝三个颜色分量间的互相转换，从而改变图像的颜色；比如：原图像为一朵红花，经过处理之后，我们将其变成绿花或者蓝花。运用到canny算子-Full-color images between color-component exchange. For color images, color images are from each pi
ImageContourTtackingAlgorithm
- 图像轮廓跟踪算法： 通过若干个像素点来模拟图像，找出图像的轮廓。 前几页是对算法的描述，最后一页是算法实现的代码-Image contour tracking algorithm
meshpic
- 输入一幅图像，输出图像的像素点的分布的图形显示。-Enter an image,then the output image will display the graphical display of the image pixel distribution .
MyImageProcess
- 对BMP格式图像像素点进行任意的读写显示，并且可以进行效果变换-BMP format images on the pixel display any of the read and write, and can effect change
image_fft2_and_ifft2
- 本程序是基于VC6.0平台的图像傅里叶变换及反变换，可支持读入、显示各种类型的彩色、灰度图像，并且可以方便地获取图像中任意像素点的灰度值。图像的傅里叶变换及反变换通过菜单方式执行，且代码清晰，执行效率高。-This procedure is based on VC6.0 platform image Fourier Transform and inverse transform, to support reading, showing all kinds of color, grayscale
chap1_4
- C++环境下基于单文档的图像的读入，并在此基础上访问图像像素点，代码中有详细的中文注释，对于初学者很有帮助-C++ environment based on a single document, read in the image, and on this basis, access to image pixels, the code in detail in the Chinese comments, very helpful for beginners
c
- 查看像素点rgb，像素点rgb，点rgb，rgb(View pixel RGB, pixel RGB, point RGB, RGB)
5初级图像混合
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是对像素点的一些处理。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly on the pixel some of the processing.)
4遍历图像像素的14种方法
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是遍历像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly traversing the pixel some of the methods.)
3用动态地址计算配合at访问像素
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是用at访问像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly used to access some of the pixels point method.)
2用迭代器访问像素
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是用迭代器访问像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly used to access the pixel iterator some of the methods.)
1用指针访问像素
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是用指针访问像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly used to access some of the pixels of the pointer method.
绘制像素点函数
- 绘制像素点函数:在屏幕的P0（20,20）坐标位置处绘制一个绿色像素点，然后读出该像素点的颜色，水平平移100个像素绘制P1点。(The pixel function is plotted: a green pixel is drawn at the P0 (20,20) coordinates of the screen, and then the color of the pixel is read out. 100 pixels are horizontally shifted to dr
点运算
- 数字图像处理中的各种点运算，用于解决图像局部像素点的变换，从而解决图像优化问题。(Digital image processing in a variety of point operations, used to solve the image of the local pixel transformation, thus solving the image optimization problem.)
109201252image-processing
- 关于MATLAB图像相关性分析的问题。随机选取1000对像素点，进行水平和垂直相关性分析。(image-correlation. select 1000 pair of pixel randomly and analyze the correlation both horizontally and vertically)
PIXEL
- 灰度变换是指根据某种目标条件按一定变换关系逐点改变源图像中每一个像素灰度值的方法。目的是为了改善画质，使图像的显示效果更加清晰。 图像的灰度变换处理是图像增强处理技术中的一种非常基础、直接的空间域图像处理方法，也是图像数字化软件和图像显示软件的一个重要组成部分。提取像素进行变化(Grayscale transformation is a method of changing the gray value of each pixel in a source image according to c
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 information content of the damaged info