搜索资源列表
Digital-Image-Processing
- MFC和OpenCV结合的数字图像处理课程设计，实现数字图像处理中的多个算法，图像分割，形态学图像处理，空间域增强，哈哈镜，二值化，Sobel，Laplace，Robert等边缘检测，中值滤波和均值滤波等，实现的功能比较全，花了我2个通宵做的 -MFC and OpenCV combination of digital image processing course design, digital image processing of multiple algorithms, image
Distortion Correction
- VC+opencv 实现建筑物梯形畸变校正 radon变换 sobel边缘检测 直方图均衡图像增强 radon直线检测 仿射变换等算法-VC+ opencv trapezoidal distortion correction to achieve the building radon transform sobel edge detection image enhancement histogram equalization radon affine transform line detecti
ColorImageBalance
- 调用OPENCV进行直方图均衡化等图像处理，实现图片对比度增强-Call OPENCV histogram equalization, image processing, Image contrast enhancement
IncreaseDemo
- 基于opencv的图像增强函数，Demo用vc2008实现-opencv，Demo ，vc2008
EnhanceImage
- 基于opencv的图像增强，先利用非线性变换实现对比度增强，在直方图均衡，写成了一个函数，可以直接调用-Based on opencv image enhancement, first using nonlinear transformation to realize contrast enhancement, in equilibrium, written for a function, can be directly calls
a3
- 用OpenCV实现的灰度图像增强功能，在VS2008环境下。-This is codes of image enhancement using OpenCV,under envionment of VS2008.
SRADPVS60
- vc6.0实现SRAD算法，即各向异性去斑噪算法，实现对图像的平滑去噪。在去除噪声的同时保持并增强了图像中目标的边缘。-vc6.0 realize SRAD algorithm, namely anisotropic speckle noise algorithm, to achieve image denoising smoothing. Remove the noise, while maintaining and enhancing the edge of the target image
SRADPVS2010
- VS2010+OPENCV实现了SRAD算法，对图像进行平滑去噪，能有效抑制噪声并增强图像中的目标边缘。-VS2010+OPENCV realized SRAD algorithm for image denoising smoothing, can effectively suppress noise and enhance the image of the target edge.
Image
- 基于opencv的mfc多文档图像处理包，实现图像处理的基本功能，图像增强，边缘检测，形态学变化等-Mfc-based multi-document image processing package opencv to achieve the basic functions of image processing, image enhancement, edge detection, morphological changes
VC--contrasthencement
- 使图像的对比度增强 图像视觉效果就会有所提高 此代码实现了对比度增强-使图像的对比度增强 图像视觉效果就会有所提高 此代码实现了对比度增强
RetinexProcessingImage
- MSR Retinex算法实现图像增强效果，可调节参数-MSR Retinex image enhancement algorithm, adjustable parameters
zengqiang
- 使用opencv和vs2010实现图像对比度增强，代码完整，可以运行(Use OpenCV and VS2010 to achieve image contrast enhancement, code integrity, you can run)