资源列表
dt-cwt
- 它不仅具有Gabor变换的六个方向选择性,而且有更小的冗余度-It is not only selective Gabor Transform six directions, but also smaller redundancy
PG_BOW_DEMO
- 图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。 其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？ 用BoW描述完图像之后，指的是将训练集以及测试集
GLCM--texture-extraction
- 对图像的纹理特征进行提取，主要基于灰度共生矩阵，然后计算二次统计量（即特征）-Texture features for image extraction, mainly based on gray level co-occurrence matrix, and then calculate the amount of secondary statistics (ie features)
DCBGrid-code
- 基于GPU编程的DCB双边滤波算法，实现了双目立体匹配等功能-GPU-based programming DCB bilateral filtering algorithm to achieve a binocular stereo matching functions
这是用C++Builder6编写的图形处理源程序
- 这是用C++Builder6编写的图形处理源程序 主要是学习如何以任意的角度旋转显示图像。-It is written using C++ Builder6 main source of graphics to learn how to rotate the display image any angle.
BM3D
- BM3D 去噪算法！基于MATLAB 实现！速度比较快-image denoising
CVPR08-SR
- 图像超分辨率重构 Image Super-Resolution as Sparse Representation of Raw Image Patches-Image Super-Resolution as Sparse Representation of Raw Image Patches
psnr
- psnr的两种算法 注释清楚 容易理解 放心下载-psnr two algorithms easier to understand clearly at ease Download Notes
fusetool
- 著名的关于图像融合的工具箱，包含小波变换、塔形变换、均值融合等相关融合方案的实现，适合二次开发和简化操作-Famous for image fusion toolbox that contains the wavelet transform, pyramid transformation, integration and other related means to achieve integration program for secondary development and simplif
Matlabhuidutu
- 用Matlab编写的程序，可以读入图片（.jpg，.bmp）格式的，都可以。然后绘出灰度直方图。-Matlab prepared by the procedures, can be read into the images ( . JPG, . BMP ) format, can be. Then plotted gray histogram.
new-median-filter
- 一种新德中值滤波，在邻域内如果中心像素为最大值或最小值则用中值代替，否则保持原值不变，适合于红外图像的椒盐去噪。-A new DE median filter, in the neighbourhood if center pixels for maximum or minimum value is used instead of value, or keep the same original value, suitable for infrared image denoising salt
weighted_median_filter
- 一种中值滤波的改进方法，基于滤波窗口邻域权重的中值滤波。-A median filter improvement method, based on filtering window neighborhood the weights of the median filter.