资源列表
testOpencv
- 实现了运动目标的检测与跟踪，根据两帧图像的帧差来判断该目标是否在运动-Achieve a moving target detection and tracking, based on frame difference two frames to determine if the target is in motion
opencv_detect
- opencv中常用的检测和跟踪算法原理介绍,介绍了常用的前景检测与目标跟踪算法-opencv principle commonly used in the detection and tracking algorithm, the introduction of the common prospects for detection and target tracking algorithm
opencv
- 图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
Entropy
- 这个源代码是计算图像的熵值以及绘制多条曲线的方法，已经实现过。-This source code is to calculate the entropy of the image as well as a number of methods to draw curves, have been implemented.
mvdr
- 16阵元mvdr自适应波束形成matlb程序代码-16 array element MVDR adaptive beamforming matlb program code
cannyPP
- 这是自己写的一个图像处理算法，很不错。希望大家喜欢。仅供学习研究之用，严禁用于商业目的。-This is to write an image processing algorithm, very good. I hope you like it. For study and research purposes, is prohibited for commercial purposes.
matlabyuanma
- 数字图像处理的一些源码程序，很好用。都是亲测过的程序。-Some source digital image processing procedures, very good use. Are too pro-test procedure.
Opencv_remove_highlight
- 基于OpenCV的高光去除算法，在一定程度上抑制高光对识别的影响-OpenCV-based high-gloss removal algorithm
Markov-Random-Fields
- 主要介绍马尔科夫随机场在图像处理中的使用，英文资料-Markov Random Fields for Vision and Image Processing
Key_Technology_for_Image_Mosaics-
- 提出一种基于特征点的运动场景图像拼接算法。基于相似变换消除选取在运动物体上的特征点，并使用RANSAC算法进行外点的剔除。在融合阶段，根据齐次变换矩阵求得对2幅图像的差异图像，并执行区域增长算法。从而分割出运动区域。使用一种分段映射算法生成全景图像。实验证明了算法的有效性。-A feature-based algorithm for image mosaics of 8c宅Iles with moving objects is pI．oposcd．The algorithm eliminates
affine_optical_flow
- 仿射（或一阶）光流模型有6个参数，描述图像平移，放大，旋转及剪切。类affine_optical_flow提供方法利用两帧图像序列来估计这些参数。-An affine (or first-order) optic flow model has 6 parameters, describing image translation, dilation, rotation and shear. The class affine_flow provides methods to estimates th
1
- 绘制一幅人像或风景图像的幅频图及相频图,并由幅频图及相频图重建空间域图像.(使用fft2,ifft2,fftshift函数)-Draw a portrait or landscape image amplitude-frequency and phase-frequency diagram in Figure by the amplitude-frequency and phase-frequency diagram in Figure spatial domain image reconstr