资源列表
fen
- 本程序是利用分形维数方法计算图像粗糙度的一个函数，可以直接调用-This procedure is to use method of fractal dimension as a function of roughness of the image, you can directly call
fun_pcnn
- 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an important preprocessing stage in ma
Corner-detection
- 里面有各种算法的角点检测，matlab,vc++都有-There are a variety of corner detection algorithm，matlab, vc++
SIFT
- 这是基于OpenCV的SIFT特征提取实现。-This is based on the OpenCV implementation of the SIFT feature extraction.
super_resolusion-pocs
- 本代码是用Matlab实现图像的超分辨率重建，方法为凸集投影法，能从多幅低分辨率图像重建一幅高分辨率图像。-We use Matlab to reconstruct image. The method is convex projection on suoer-resolution(POCS).
imagematch
- 提取两幅图像的sift特征，并匹配图像，采用c语言实现-Extraction of two images of sift features, and matching images, using c language
bookcd
- 《基于OPENCV的计算机视觉技术实现》源码光盘，值得下载- OPENCV based on computer vision technology to achieve source disc, it is worth downloading
lsb
- 局部敏感哈希的源码，用到了B树，有兴趣的朋友可以-Local sensitive hash source, use the B-tree, and interested friends can see
gridregression
- SVM回归中用的gridregression.py函数，用它来进行参数寻优，做了一些改动适用于windows。-SVM regression using the gridregression.py function, use it to carry out parameter optimization, has done some changes to apply to windows.
DIP
- 图像的操作，及视频流的相关操作，基于opencv，运动目标检测，中值滤波，高斯背景模型，混合高斯模型-The operation of the image, and video streams related operations, based on the opencv, motion detection, median filtering, Gaussian background model, Gaussian mixture model
LSH
- 关于稀疏矩阵在图像处理中的应用的英文PPT,简单易懂。-On the sparse matrix applications in image processing in English PPT, easy to understand.
SIFT_area_match
- SIFT算法的区域匹配，比原有的SIFT+KD树匹配更加高效、准确。-different area SIFT algorithm which is better than the original SIFT and KD tree match.