图像分类代码

// Classify.cpp : 定义控制台应用程序的入口点。
//

#include “stdafx.h“
#include 
#include “opencv2/core/core.hpp“
#include “opencv2/imgproc/imgproc.hpp“
#include “opencv2/highgui/highgui.hpp“
#include “opencv2/ml/ml.hpp“
#include 
using namespace std;
using namespace cv;

int main（int argc _TCHAR* argv[]）
{
	char * path = _T（“lena.jpg“）;
	int i = _access（path 0）;
	Mat src_img = imread（path CV_LOAD_IMAGE_UNCHANGED）;//读图像
	int width_src = src_img.cols;
	int height_src = src_img.rows;

	Mat samples = Mat::zeros（width_src*height_src 1 CV_32FC3）;//创建样本矩阵，CV_32FC3代表32位浮点3通道（彩色图像）
	Mat clusters;//类别标记矩阵
	int k = 0;
	for （int i = 0; i	{
		for （int j = 0; j		{
			//将像素点三通道的值按顺序排入样本矩阵
			samples.at（k 0）[0] = （float）src_img.at（i j）[0];
			samples.at（k 0）[1] = （float）src_img.at（i j）[1];
			samples.at（k 0）[2] = （float）src_img.at（i j）[2];
		}
	}
	int nCuster = 10;//聚类类别数，自己修改。
	//聚类，KMEANS PP CENTERS Use kmeans++ center initialization by Arthur and Vassilvitskii
	kmeans（samples nCuster clusters TermCriteria（CV_TERMCRIT_EPS + CV_TERMCRIT_ITER 10 1.0） 1 KMEANS_PP_CENTERS）;

	//显示聚类结果
	Mat result = Mat::zeros（height_src width_src CV_8UC1）;
	k = 0;
	int val = 0;
	float step = 255 / （nCuster - 1）;
	for （int i = 0; i	{
		for （int j = 0; j		{
			val = 255 - clusters.at（k 0）*step;//int
			result.at（i j） = val;
		}
	}
	imshow（“原始图像“ src_img）;
	imshow（“聚类结果“ result）;
	waitKey（0）;
	return 0;
}

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----

     文件      87040  2019-01-05 16:43  ImageClassifyDebugImageClassify.exe

     文件     558420  2019-01-05 16:43  ImageClassifyDebugImageClassify.ilk

     文件    2101248  2019-01-05 16:43  ImageClassifyDebugImageClassify.pdb

     文件        416  2019-01-05 16:04  ImageClassifyImageClassifyDebugImageClassify.Build.CppClean.log

     文件       1822  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.log

     文件     289376  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.obj

     文件        606  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.tlogcl.command.1.tlog

     文件      32548  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.tlogCL.read.1.tlog

     文件        568  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.tlogCL.write.1.tlog

     文件        170  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.tlogImageClassify.lastbuildstate

     文件       1368  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.tloglink.command.1.tlog

     文件       2940  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.tloglink.read.1.tlog

     文件        528  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.tloglink.write.1.tlog

     文件     871424  2019-01-05 16:43  ImageClassifyImageClassifyDebugvc120.idb

     文件     708608  2019-01-05 16:43  ImageClassifyImageClassifyDebugvc120.pdb

     文件       1699  2019-01-05 16:43  ImageClassifyImageClassifyImageClassify.cpp

     文件       3942  2019-01-05 16:38  ImageClassifyImageClassifyImageClassify.vcxproj

     文件       1278  2019-01-05 16:07  ImageClassifyImageClassifyImageClassify.vcxproj.filters

     文件      91814  2010-12-05 06:13  ImageClassifyImageClassifylena.jpg

     文件    2010624  2010-12-05 10:38  ImageClassifyImageClassifyopencv_core220.dll

     文件    3589632  2010-12-05 10:37  ImageClassifyImageClassifyopencv_core220d.dll

     文件     776192  2010-12-05 10:38  ImageClassifyImageClassifyopencv_highgui220.dll

     文件    1716224  2010-12-05 08:45  ImageClassifyImageClassifyopencv_highgui220d.dll

     文件         80  2019-01-05 16:04  ImageClassifyImageClassifystdafx.h

     文件        234  2019-01-05 16:04  ImageClassifyImageClassify argetver.h

     文件   37552128  2019-01-05 17:09  ImageClassifyImageClassify.sdf

     文件        985  2019-01-05 15:59  ImageClassifyImageClassify.sln

    ..A..H.     23040  2019-01-05 17:09  ImageClassifyImageClassify.v12.suo

     目录          0  2019-01-05 16:43  ImageClassifyImageClassifyDebugImageClassify.tlog

     目录          0  2019-01-05 16:43  ImageClassifyImageClassifyDebug

............此处省略6个文件信息