大家好，又见面了，我是你们的朋友全栈君。#include <opencv2/opencv.hpp>
#include <opencv2/legacy/compat.hpp>
#include <opencv2/imgproc/types_c.h>
#include <fstream>
using namespace std;
void vvAdaptiveThreshold( IplImage* inImg, IplImage* outImg)
{
int S = inImg->width >> 5;
int T = 10;
char *input, *bin;
input = inImg->imageData;
bin = outImg->imageData;
int width = inImg->width;
int height = inImg->height;
unsigned long* integralImg = 0;
int i, j;
long sum=0;
int count=0;
int index;
int x1, y1, x2, y2;
int s2 = S/2;
//bin = new unsigned char[width*height];
// create the integral image
integralImg = (unsigned long*)malloc(width*height*sizeof(unsigned long*));
for (i=0; i<width; i++)
{
// reset this column sum
sum = 0;
for (j=0; j<height; j++)
{
index = j*width+i;
sum += input[index];
if (i==0)
integralImg[index] = sum;
else
integralImg[index] = integralImg[index-1] + sum;
}
}
// perform thresholding
for (i=0; i<width; i++)
{
for (j=0; j<height; j++)
{
index = j*width+i;
// set the SxS region
x1=i-s2; x2=i+s2;
y1=j-s2; y2=j+s2;
// check the border
if (x1 < 0) x1 = 0;
if (x2 >= width) x2 = width-1;
if (y1 < 0) y1 = 0;
if (y2 >= height) y2 = height-1;
count = (x2-x1)*(y2-y1);
// I(x,y)=s(x2,y2)-s(x1,y2)-s(x2,y1)+s(x1,x1)
sum = integralImg[y2*width+x2] –
integralImg[y1*width+x2] –
integralImg[y2*width+x1] +
integralImg[y1*width+x1];
if ((long)(input[index]*count) < (long)(sum*(100-T)/100))
bin[index] = 255;
else
bin[index] = 0;
}
}
free (integralImg);
}
int main() //欢迎大家加入图像识别技术交流群：271891601
{
// 从文件中加载原图
//IplImage *pSrcImage1 = cvLoadImage(“adaptive.jpg”, CV_LOAD_IMAGE_UNCHANGED);
IplImage *pSrcImage1 = cvLoadImage(“ding9.jpeg”, CV_LOAD_IMAGE_UNCHANGED);
IplImage *pSrcImage = cvCreateImage(cvGetSize(pSrcImage1), IPL_DEPTH_8U,1);
cvCvtColor(pSrcImage1,pSrcImage,CV_BGR2GRAY);//cvCvtColor(src,des,CV_BGR2GRAY)
//创建输出的图像
IplImage *pOutImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U,1);
vvAdaptiveThreshold(pSrcImage,pOutImage);
const char *pstrWindowsATitle = “Adptive Thresholding using the Integral Image”;
cvNamedWindow(pstrWindowsATitle, CV_WINDOW_AUTOSIZE);
cvShowImage(pstrWindowsATitle, pOutImage);
const char *pstrWindowsATitle1 = “origial Image”;
cvNamedWindow(pstrWindowsATitle1, CV_WINDOW_AUTOSIZE);
cvShowImage(pstrWindowsATitle1, pSrcImage1);
cvWaitKey(0);
//这里记得释放掉不用的资源哦，由于这是测试程序，就不写了，正式的程序一定要写上哦
return 0;
}
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