资源列表
ColorTransformRGB-LAB
- 自己写的很实用的色彩空间转换程序： 在色彩空间的正向转换中（RGB----->Lab），用的是九级均匀分割建模 在色彩空间的反向转换中（Lab----->RGB），用的是多项式（20项）回归的方法! 二十项多项式: p(x,y,z)=a0+a1*x+a2*y+a3*z+a4*x*y+a5*y*z+a6*x*z+a7*x^2+a8*y^2+a9*z^2+a10*x*y*z+a11*x^3+a12*y^3-himself wrote a very practical c
fazhi
- 迭代最佳阈值分割算法，寻找最佳阀值检测边缘-best iteration threshold segmentation algorithm to find the best edge detection threshold
imagechangeandrechange
- 矩阵变换实现图像畸变,分为红色畸变，蓝色畸变和绿色畸变，再分别实现校正-matrix transform image distortion, distortion is divided into red, blue and green distortion aberration, and then realize correction
1323342356378
- 右击菜单选择图形,左击开始绘制,颜色是异或的-right-click menu to choose graphics, start drawing down on the left, the color is different or the
xiaobofftc++
- 该程序包包含若干滤波算法，主要是小波滤波和FFT滤波算法,有较高的参考价值-The package includes a number of filtering algorithms, wavelet filter is filter and FFT algorithm, a high reference value
wavelet_code1.0
- 小波变换Vc6源代码,噪音处理,有一定的参考价值-wavelet transform Vc6 source code, noise, a certain reference value
wavelet.0.3.0
- 外国人写的小波变换C++源代码(Baseline Wavelet Transform Coder Construction Kit),有一定的参考价值-foreigners write wavelet transform C source code (Baseline Wavelet Transfo rm Coder Construction Kit), which is the reference value
zhifangtusuanfa
- AppWizard has created this MyDIP application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.
Canny-suanzi
- AppWizard has created this MyDIP application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.
zuidashang1
- 图像分割：最大熵对灰度图像基于区域的阈值分割-image segmentation : Maximum Entropy gray images on the threshold based on regional segmentation
zuidazuixiaofangfa
- 图像分割：最大最小法对灰度图像基于区域的阈值分割-image segmentation : minimization of the largest gray image on the threshold of regional division
xiangguanyuleijianfangcha
- 相关域内建方差算法对图像的基于区域的阈值分割-related construction within variance algorithm based on the image of the region threshold segmentation