学步园

#include <stdio.h>
#include <cv.h>
#include <highgui.h>

#pragma comment(lib, "cv.lib")
#pragma comment(lib, "cxcore.lib")
#pragma comment(lib, "highgui.lib")

#define max_corners 100
int main( int argc, char** argv )
{
	int cornerCount=max_corners;
	CvPoint2D32f corners[max_corners];
	double qualityLevel = 0.05;
	double minDistance = 5;
	IplImage *srcImage = 0, *grayImage = 0, *corners1 = 0, *corners2 = 0;
	int i;
	CvScalar color = CV_RGB(255,0,0);
	cvNamedWindow( "image", 2); //创建显示窗口
	//加载一副图片
	srcImage = cvLoadImage("test.png", 1);
	grayImage = cvCreateImage(cvGetSize(srcImage), IPL_DEPTH_8U, 1);
	//将原图灰度化
	cvCvtColor(srcImage, grayImage, CV_BGR2GRAY);
	corners1= cvCreateImage(cvGetSize(srcImage), IPL_DEPTH_32F, 1);
	corners2= cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_32F, 1);
	cvGoodFeaturesToTrack (grayImage, corners1, corners2, corners,&cornerCount, qualityLevel, minDistance, 0);
	printf("num corners found: %d\n", cornerCount);
	if(cornerCount>0)
	{
		for (i = 0; i < cornerCount; ++i)
		{
			cvCircle(srcImage, cvPoint((int)(corners[i].x), (int)(corners[i].y)), 6, color, 2, CV_AA, 0);
		}
	}
	cvShowImage("image", srcImage);
	cvWaitKey(0);
	cvReleaseImage(&srcImage);
	cvReleaseImage(&grayImage);
	cvReleaseImage(&corners1);
	cvReleaseImage(&corners2);

	return 0;
}

// eyes_susan.cpp : 定义控制台应用程序的入口点。
//可以检测眼睛动态匹配轮廓的susan角点检测算法，准确率98

#include<math.h>
#include<stdlib.h>
#include<stdio.h>
#include "cv.h"
#include "highgui.h"
#pragma comment(lib, "cv.lib")
#pragma comment(lib, "cxcore.lib")
#pragma comment(lib, "highgui.lib")

int main( int argc, char** argv )
{
	int height ,width ,step ,channels ;
	int i,j,k,same ,max,min,sum;
	float thresh;
	uchar *data0,*data1 ;
	//char *filename="result.bmp";
	IplImage* Img, *nimg; //声明IplImage指针
	//载入图像
	Img = cvLoadImage( "test.png",0);
	cvNamedWindow( "Image0", 2); //创建窗口
	cvShowImage( "Image0", Img ); //显示图像

	nimg = cvCreateImage(cvGetSize(Img),8,1);

	height    = Img->height;
	width     = Img->width;
	step = Img->widthStep/sizeof(uchar);
	channels = Img->nChannels;
	data0   = (uchar*)Img->imageData;
	data1 =    (uchar*)nimg->imageData;

	printf("Processing a %d X %d image with %d channels\n",width,height,channels);
	int OffSetX[37] = 
	{ -1, 0, 1,
	-2,-1, 0, 1, 2,
	-3,-2,-1, 0, 1, 2, 3,
	-3,-2,-1, 0, 1, 2, 3,
	-3,-2,-1, 0, 1, 2, 3,
	-2,-1, 0, 1, 2,
	-1, 0, 1 };
	int OffSetY[37] = 
	{ 
		-3,-3,-3,
		-2,-2,-2,-2,-2,
		-1,-1,-1,-1,-1,-1,-1,
		0, 0, 0, 0, 0, 0, 0,
		1, 1, 1, 1, 1, 1, 1,
		2, 2, 2, 2, 2,
		3, 3, 3 
	};

	max = min = data0[0];

	for(i=3;i<height-3;i++)
		for(j=3;j<width-3;j++)
		{
			same =0;
			sum = 0;
			for(k=0;k<37;k++)
			{
				sum+=data0[(i+OffSetY[k])*step+(j+OffSetX[k])];
				thresh = (float)sum/37;
				float data_fabs;
				data_fabs= (float)(data0[(i+OffSetY[k])*step+(j+OffSetX[k])]-data0[i*step+j]);

				if(fabs( data_fabs)<=thresh)
					same++;
			}

			if(same<18)
				nimg->imageData[i*step+j] = 255;
			else
				nimg->imageData[i*step+j]  = 0;

			printf("same = %d\n", same);

		}

		cvNamedWindow( "Image", 2); //创建窗口
		cvShowImage( "Image", nimg ); //显示图像
		cvWaitKey(0); //等待按键
		cvDestroyWindow( "Image" );//销毁窗口
		cvReleaseImage( &Img ); //释放图像
		cvReleaseImage( &nimg );
		return 0;
}