资源列表
wiener-Image-restoration
- 使用维纳滤波方法对图像进行去噪处理,用均方差评价图像还原效果-Using wiener filtering method to deal with the noise of image, image restoration effect with the mean square error uation
Inverse-filtering--image-recovery
- 运动模糊加噪声图像逆滤波复原,加入高斯白噪声以及运动模糊模型,使用逆滤波复原-Inverse filtering motion blur and noise image restoration, add white gaussian noise and fuzzy model, using the inverse filtering
muscle
- 对于CT图像,为了突出显示肌肉部分的区域,程序截取ROI区域,并通过灰度滤波来进行显示-The program ROI region for gray filter for improving the muscle area in CT image
Wiener-filtering-image-restoration
- 运动模糊加高斯噪声图像进行逆滤波复原,MSE对复原图像进行评价-Motion blur and gaussian noise image restoration use inverse filtering, MSE uating the restored image
wiener-recovery
- 运动模糊加高斯噪声的图像进行维纳滤波复原,并对其进行改进-Motion blur and gaussian noise of image recovery wiener filtering, and carries on the improvement
parsePLYFile
- 图形学中通过三角形网格画bunny,主要利用OpenGL和C-Graphics by triangle mesh painting bunny, the main use of OpenGL and C++
obtain-area
- matlab图像处理求取叶片面积,包含去噪,二值化,连通域标记,去除小面积- MATLAB image processing to obtain blade area, including denoising, two value, connected domain labeling, removal of small area
LUT
- 查找表法,把数据事先写入RAM后,每当输入一个信号就等于输入一个地址进行查表,找出地址对应的内容,然后输出-Look-up table method, after prior written to RAM, the data input when a signal is input an address look-up table, find out the address corresponding to the content, and then output
sift
- 基于sift的图像拼接,较好的实现了两幅图像的拼接,源码里有测试图像-Based sift image mosaic
Gaussian
- 打开24位彩色bmp文件, 显示该图像 将图像内容顺时针旋转90度后显示出来 将图像分成等大小的4块,将第1和第3块像素互换后保存 将旋转后的图像转换成灰度图像显示,并保存 对灰度图像求Sobel边缘图,显示出来,并保存 对灰度图像进行Gaussian平滑,并保存(需要体会平滑的作用) 对灰度图像进行2值化-Open 24-bit color bmp files, displays the image will rotate clockwise image content
AVI
- 从摄像头得到视频流,从中任意选取5帧,保存成图像文件 2.从AVI文件读取视频,从中任意选取5帧,保存成图像文件 3.从摄像头得到视频流,在指定的窗口内实时显示该视频 4. 读取一jpg文件,对其旋转、缩放,然后显示出来 -Get a video stream a camera, which arbitrarily selected five, save it as an image file 2. Read the video AVI files, arbitrarily
HOG
- 读取一24位彩色图像,计算其以下图像特征: 1)灰度直方图 2)颜色直方图(RGB3个通道) 3)方向梯度直方图(HOG,将图像分成4*4 16个块,8个梯度方向) -Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, t