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基于OpenCV的常用图像分割算法
- 基于OpenCV的常用图像分割算法，用随机产生的颜色勾勒目标的轮廓-The program takes a color image (PPM format) and produces a segmentation with a random color assigned to each region.
houghforest
- 使用hough随机森林算法做的单类物体识别-Random forest algorithms use hough a single class of object recognition do
random-forest
- 随机森林算法是opencv中的重要的算法，其中讲述了随机森林的定义特征构建方法等-Random Forests algorithm is an important algorithm in opencv, which describes the defining characteristics of a random forest construction methods
k_means
- 实现K-means算法，高斯随机分布抽取数据 利用k-means算法实现分类-Implement K-means algorithm to extract the data using Gaussian random distribution of k-means classification algorithm
opencv
- 采取随机蕨算法，利用OpenCV库进行特定目标体的识别-To take random fern algorithms using OpenCV library specific target body identification
siftPransac
- SIFT点提取，KD树特征匹配，再用随机抽样一致算法去除无匹配-SIFT extraction, KD tree feature matching, and then remove the non-random sample consensus algorithm matches
logistic-regression
- 采用随机梯度算法，来利用逻辑回归对训练集进行分类-Classify the training set by logistic regression
compressiveTracking
- 压缩跟踪 是一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-Compression tracking A simple and efficient tracking algorithm based on compression perception. First use of random eligible for c
floodfill
- 漫水填充算法示例，在窗口图片上单击鼠标，可以给其中不同区域随机着色-Diffuse water filling algorithm example, click on the picture window, you can give different areas where random coloring
MyFrandomforest
- 随机森林算法，用来训练检测器的决策树。行人跟踪的一种常用算法-Random Forest algorithm is used to train the detector tree. A common pedestrian tracking algorithm
SURFandRANSAC
- 本程序的功能是基于opencv库，用SURF提取特征，并保存描述子，再用随机抽样一致性算法剔除错误的匹配点，保存匹配好的点坐标，效果可以，你也可以换成SIFT或ORB来看效果。-This procedure is the function of feature extraction using SURF, and save the descr iptor matching points and random consistency algorithm to eliminate errors, s