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GreyTrans
VC++图像处理程序设计(杨淑莹)第四章_灰度变换源码(VC++ image processing program design (Yang Shuying) Chapter _ gray transform source)
- 2013-03-19 23:52:43下载
- 积分:1
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Image-color-VB-source-code
使用VB编写的图片反色源代码是图像处理的很好的教程(Image color VB source code)
- 2014-03-18 09:45:58下载
- 积分:1
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fuse
基于肤色的图像分割,是用matlab实现的,希望大家有用(Image segmentation based on skin color is achieved with matlab, I hope it would be useful)
- 2011-06-08 21:21:50下载
- 积分:1
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rr
说明: 基于LBP纹理特征的运动目标检测算法.rar(Moving target detection algorithm based on LBP texture features. Rar)
- 2013-01-03 12:21:30下载
- 积分:1
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edge_detect
边沿检测与提取,轮廓跟踪的图象算法
用VC++实现,下载可以正常运行(Edge detection and extraction, contour tracing algorithm using image VC++ Realization can download the normal operation of)
- 2008-04-25 22:20:43下载
- 积分:1
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Relative-orientation
摄影测量学 通过迭代法求解五个相对定向元素(Relative orientation)
- 2014-10-09 18:08:53下载
- 积分:1
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opencv-fft2
灰度图像的二维傅里叶变换(cv_gray_fft2),二维傅里叶变换结果的幅值计算(cv_abs),频谱平移(cv_gray_fft2shift),将数值归一化到0到255区间(cv_range_0to255)是非常常用的四个功能!所以写成四个函数,方便将来调用!附运行截图~并附对应的MATLAB程序!(Dimensional Fourier transform of the grayscale image (cv_gray fft2), two-dimensional Fourier transform results to calculate the amplitude (cv_abs), spectral translation (cv_gray_fft2shift), the value normalized to range 0 to 255 (cv_range_0to255) is very common four function! so written as four function to facilitate future calls! attached run shot- along with the corresponding MATLAB program!)
- 2020-11-30 10:59:29下载
- 积分:1
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PanoramicImage
用于图像拼接的素材,可用于全景图拼接。主要是JPG形式,可通过SIFT算法进行处理(Material for image stitching, can be used for panorama stitching. Mainly JPG format, can be handled by the SIFT)
- 2020-11-30 15:39:27下载
- 积分:1
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HALCON_CIRCLE
一个简单的HALCON计算圆心坐标的例子,C++代码格式,初学者适用!(A simple example of calculating coordinates HALCON, c++ code format, for beginners!)
- 2021-03-23 10:19:15下载
- 积分:1
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pcacode
程序设计步骤:
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步)
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)
- 2008-07-14 16:25:23下载
- 积分:1