资源列表
cudaEncode
- 此示例演示如何有效地使用CUDA视频编码器API编码H.264视频。视频输入在YUV格式作为输入(系统CPU或GPU内存)和视频输出帧编码H.264文件-This sample demonstrates how to effectively use the CUDA Video Encoder API encode H.264 video. Video input in YUV formats are taken as input (either CPU system or GPU memor
SobelFilter
- 这个样例实现CUDA加速版的Sobel边缘检测滤波器为8位单色图像。-This sample implements the Sobel edge detection filter for 8-bit monochrome images by using CUDA to speed up.
High-Frequency-Emphasis-Filtering
- 此代码是关于高频强调滤波。利用高通滤波器削弱傅里叶变换的低频而保持高频相对不变点，这样会突出图像的边缘和细节，使得图像边缘更加清晰。但是由于高通滤波器偏离了直流分分量，从而把图像的平均值降低到了0,。一种补偿方法是给高通滤波器加上一个偏移量。通过算法达到目的。-High-Frequency Emphasis Filtering.High-pass filers zero out the DC term (the value at the center of a high-pass filter
manual-registration-of-two-images
- 这个脚本演示如何通过使用cpselect执行手动注册来拼接两个图像。该脚本使用matlab。-This scr ipt demonstrates how to perform manual registration of two images by using cpselect.
hidden_feature_enhancement
- 这个脚本显示了如何使用本地局部和全局直方图共同加强图像,特别针对图像上有隐藏的部分。 利用了nlfilter()函数及循环遍历像素值修改。-This scr ipt shows to how to use local and global histograms to work together to locally enhance the image, especially suitable for the case that parts of the image may contain
Filtering-and-sharpening
- 利用matlab对图像进行加噪、平滑滤波、中值滤波、水平垂直差分锐化及交叉锐化-Use matlab for image noise, smoothing, median filtering, sharpening, and horizontal and vertical differential cross sharpening
Statistical-
- 利用matlab对图像进行帧内及帧间的统计特性处理-Use matlab to make inter-frames statistical properties
VC_FFT
- 傅里叶变换：采用VC++编写，实现二维图像的傅里叶变换-Fourier Transform: The VC++ prepared to achieve the two-dimensional Fourier transform of the image
VC_DCT
- 离散余弦变换：vc++编写，实现二维图像的离散余弦变换-Discrete Cosine Transform: vc++ writing, to achieve a two-dimensional discrete cosine transform image
SUSAN
- SUAN 算法。用来提取图像边缘和角点，参数可以自己调整。-SUAN algorithm. Used to extract image edges and corners, the parameters can be adjusted himself.
erzhi
- 图像二值化及水平垂直投影，能够实现基本的图像处理操作-Binarization and the horizontal and vertical projection,
grass
- 神经 网络 草地 检测 本算法使用神经网络 进行草地检测 经过训练 能够准确的检测草地 同样可以用于其他物体检测 只要训练准确-grass detection