### ▍histogramequalization

histogram equalization code implemented in matlab  Very easy and smartly done code...

Image Editing Matlab

### ▍histogramequalization

English histogram equalization is the image processing work to obtain a uniform distribution of the brightness of the image.  If it is a picture that has a low contrast , it is the process of improving the image brightness . Using cvEqualizeHist() function, the image was divided into three chan...

Image Processing C

### ▍meanshift tracking based on visal

meanshift by Comaniciu first put forward, is an algorithm for tracking non-rigid objects. In order to characterize the target, you first need to select a feature space. Reference objects, represented by the probability density function of q in the feature space, such as reference models you can choo...

Matlab Matlab

### ▍COP-kmeans constrained k-means clustering

k-means algorithm and an improved K-means algorithm, which is based on pairwise constraints Cop-kmeans algorithms. The algorithm combines the Must-Link and Can not-Link constraints in these two types of data objects bound "supervision" to be divided....

Algorithm C

### ▍Code as well as article about mean-shift

On the meanshift algorithm is the most comprehensive collection of information, compressed bag contains the mean shift algorithm for Word documents, PPT data, target tracking algorithm based on meanshift (MATLAB), as well as a knowledge base...

Matlab Matlab

### ▍MATLAB k-means image classification codes

K-means algorithm is the simplest kind of clustering algorithms. The purpose of the algorithm is to enable each sample and where the class mean squared error to a minimum (which is the evaluation of the evaluation criteria K-means clustering algorithm final results).The program is simple to operate,...

Matlab Matlab

### ▍Kmeans function

K-means algorithm accepts parameters  k; prior input of n data objects are then divided into k clusters in order to make the access to the cluster to meet: high similarity of the object in the same cluster and less similarity between different objects in the cluster. Cluster similarity is the u...

Matlab Matlab

### ▍Matlab code for k_means

Using matlab to write code to implement k_means clustering algorithm, here is the conduct two types of classification, this program is included with the main function, and contains data, this k_means program can be run directly....

Matlab Matlab

### ▍MATLAB training programs (k-means clustering)

MATLAB training programs (k-means clustering) clustering algorithm, not a classification algorithm. Classification algorithm is a data and then determine the data belongs to the good of the class in any particular class of. Clustering algorithm is for a bunch of raw data, and then through the algori...

Matlab Matlab

### ▍meanshift image clustering

MATLAB training programs (meanshift image cluster) on this meanshift, can be used as target tracking, and can be used for image clustering. I've only implemented image clustering, of course, is prepared according to their own understanding of the program. As regards the target tracking is to be achi...

Matlab Matlab

### ▍Kmeans algorithm

K-means image segmentation, read full-color photographs, the output image after the region segmentation...

Image Processing Matlab

### ▍K-means cluster

K-means cluster Using c++ to realize, we will study together the Exchange. Step 1. N data objects arbitrarily choose k objects as the initial cluster centers; Step 2. Loop Step 3 to Step 4 until each cluster is no longer changes; Step 3. Under each cluster...

Image Processing C++

### ▍Kmeans cluster

This is a project in natural language process, it is one of  classic  clustering algorithms in data mining,the algorithms based on  distance,First choose k objects from n arbitrary data objects as the initial clustering center; for the left objects, according to  th...

Java Development Java

### ▍meanShift algorithm Matlab program

Algorithm Matlab program meanShift, which contains a collection of test images, the code includes comments, meanShift algorithm is described in great detail the process: initialization, weight calculations, PAP distance calculation, and update the target location in real time, learning is easy...

Matlab Matlab

### ▍K-means algorithms MapReduce

public class KmeansMapper extends MapReduceBase implements Mapper<LongWritable, Text, IntWritable, DoubleArrayWritable> { // one coodinate(data) private List<DoubleWritable> coordinate = new ArrayList<DoubleWritable>(); private BasicKmeansTool basicKmeans = new BasicKmeans...

Algorithm Java

### ▍histogramequalization

int main() { char infilename[20]; char outfilename[20]; Printf ("Please enter image name: n"); scanf("%s",infilename); if( ReadInfo(infilename) ) { if(histogram()) { Printf ("Please enter the output image name and. bmp over n"); scanf("%s",outfilename); WriteToFile(outfilename); } } e...

### ▍meanShift_Code

It is the improvement of meanShift algorithm, called a continuous Adaptive meanShift algorithm, CamShift algorithm is the full name of "Continuously Adaptive mean-SHIFT", which is the basic idea of all frames of a video image for meanShift operations and results of the previous frame (the Center and...

Matlab Matlab

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