灰度切割:分为两种情况,一种情况是将某段阈值的图像设为一个较高值,其它灰度指定一个较低值。另一种情况是所需范围的灰度变亮,但仍保持图像的背景和灰度色调。
for (int i = 0; i < img_height - 1; i++)
{
for (int j = 0; j < img_width - 1; j++)
{
uchar cur = data[i * img_width + j];
if (cur > 20 && cur < 200)
{
cur = cur + 50;
if (cur < 0)
{
cur =0;
}
else if(cur > 255)
{
cur =255;
}
data[i * img_width + j] = cur;
}
}
}
位图切割:就8比物图像的位平面抽取而主,说明用一个灰度阈值变换函数处理输入图像可以获得位平面7的二值图像并不困难。该灰度阈值变换函数:(1)把图像中0和127间的所有灰度映射到一个灰度级例如(0)(2)把129到255间的灰度映射为另一种灰度级。例如(255)
#include "math.h"
#include"cv.h"
#include"highgui.h"
int main(int argc,char **argv)
{
IplImage *pImg;
IplImage *pImg_gray;
IplImage *pImg_cut[8];
if(argc == 3 && (pImg = cvLoadImage(argv[1],-1))!= 0)
{
pImg_gray = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
cvCopy(pImg,pImg_gray,NULL);
int img_width = pImg->width;//image width
int img_height = pImg->height;//image height
uchar *data;
data = (uchar *)pImg_gray->imageData;
uchar *data_cut[8];
pImg_cut[0] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[1] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[2]= cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[3] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[4] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[5] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[6] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[7] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U,1);
uchar zhi = 1;
for (int k = 0; k< 8 ;k++)
{
data_cut[k] = (uchar *)pImg_gray->imageData;
if (k > 0)
zhi = zhi<<1;
for (int i = 0; i< img_height; i++)
{
for (int j = 0; j< img_width ; j++)
{
uchar cur = data[i * img_width + j];
cur = cur & 0x40; //按位与运算
if (cur == 1)
{
cur = 255;
}
else cur = 0;
data[i * img_width + j] = cur;
}
}
cvCopy(pImg_gray,pImg_cut[k],NULL);
cvCopy(pImg,pImg_gray,NULL);
}
cvNamedWindow("log1",1);//create window
cvNamedWindow("log2",2);//create window
cvNamedWindow("log3",3);//create window
cvNamedWindow("log4",4);//create window
cvNamedWindow("log5",5);//create window
cvNamedWindow("log6",6);//create window
cvNamedWindow("log7",7);//create window
cvNamedWindow("log8",8);//create window
cvShowImage("log1", pImg_cut[0]);
cvShowImage("log2", pImg_cut[1]);
cvShowImage("log3", pImg_cut[2]);
cvShowImage("log4", pImg_cut[3]);
cvShowImage("log5", pImg_cut[4]);
cvShowImage("log6", pImg_cut[5]);
cvShowImage("log7", pImg_cut[6]);
cvShowImage("log8", pImg_cut[7]);
cvWaitKey(0);
cvDestroyWindow("canny");
cvReleaseImage(&pImg);
cvReleaseImage(&pImg_gray);
return 0;
}
return -1;
}
#include "math.h"
#include"cv.h"
#include"highgui.h"
//#include <iostream>
//using namespace std;
int main(int argc,char **argv)
{
/*IplImage *img=cvLoadImage("F:\HU\testopencv\pp.jpg");
cvNamedWindow("Example1",CV_WINDOW_AUTOSIZE);
cvShowImage("Example1",img);
cvWaitKey(0);
cvReleaseImage(&img);
cvDestroyWindow("Example1"); */
//图像反转
IplImage *pImg;
IplImage *pImg_gray;
IplImage *pImg_cut[8];
/*IplImage *pImg_cut0;
IplImage *pImg_cut1;
IplImage *pImg_cut2;
IplImage *pImg_cut3;
IplImage *pImg_cut4;
IplImage *pImg_cut5;
IplImage *pImg_cut6;
IplImage *pImg_cut7;*/
/*pImg_cut0 = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut1 = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut2 = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut3 = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut4 = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut5 = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut6 = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut7 = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);*/
//IplImage *pImg_bi;
if(argc == 3 && (pImg = cvLoadImage(argv[1],-1))!= 0)
{
pImg_gray = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
//cvCvtColor(pImg,pImg_gray,CV_BGR2GRAY);
cvCopy(pImg,pImg_gray,NULL);
//pImg_bi = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
//cvThreshold(pImg_gray,pImg_bi,127,255 ,CV_THRESH_BINARY);
//int a = pImg_bi->nChannels;
//int bi_width = pImg_bi->
int img_width = pImg->width;//image width
int img_height = pImg->height;//image height
uchar *data;
data = (uchar *)pImg_gray->imageData;
uchar *data_cut[8];
pImg_cut[0] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[1] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[2]= cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[3] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[4] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[5] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[6] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
pImg_cut[7] = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
/*//for (int i = 0; i < img_height - 1; i++)
//{
//for (int j = 0; j < img_width - 1; j++)
//{
//uchar cur = data[i * img_width + j];
//
////cur = 3 * log((double)cur + 1.0);
//cur = 6 * sqrt((float)cur);
//if (cur < 0)
//{
//cur =0;
//}
//else if(cur > 255)
//{
//cur =255;
//}
//}
//}
//line trans func线性变换
float ratio = -3;//斜率
float intercept = -838;//截距
for (int i = 0; i < img_height - 1; i++)
{
for (int j = 0; j < img_width - 1; j++)
{
uchar cur = data[i * img_width + j];
/*cur = ratio * cur + intercept;//线性变换
data[i * img_width + j] = cur;
if (cur < 0)
{
cur =0;
}
else if(cur > 255)
{
cur =255;
}*/
/*if (cur > 20 && cur < 200)
{
cur = cur + 50;
if (cur < 0)
{
cur =0;
}
else if(cur > 255)
{
cur =255;
}
data[i * img_width + j] = cur;
}
}
}*/
/*for (int i = 0; i< img_height -1 ; i++)
{
for (int j = 0; j< img_width -1; j++)
{
printf("%d",data[i * img_width + j]);
}
printf("\n");
}*/
//cvSaveImage(argv[2],pImg_bi);
uchar zhi = 1;
for (int k = 0; k< 8 ;k++)
{
data_cut[k] = (uchar *)pImg_gray->imageData;
if (k > 0)
zhi = zhi<<1;
for (int i = 0; i< img_height; i++)
{
for (int j = 0; j< img_width ; j++)
{
uchar cur = data[i * img_width + j];
cur = cur & 0x40; //按位与运算
if (cur == 1)
{
cur = 255;
}
else cur = 0;
data[i * img_width + j] = cur;
}
}
cvCopy(pImg_gray,pImg_cut[k],NULL);
cvCopy(pImg,pImg_gray,NULL);
}
cvNamedWindow("log1",1);//create window
cvNamedWindow("log2",2);//create window
cvNamedWindow("log3",3);//create window
cvNamedWindow("log4",4);//create window
cvNamedWindow("log5",5);//create window
cvNamedWindow("log6",6);//create window
cvNamedWindow("log7",7);//create window
cvNamedWindow("log8",8);//create window
cvShowImage("log1", pImg_cut[0]);
cvShowImage("log2", pImg_cut[1]);
cvShowImage("log3", pImg_cut[2]);
cvShowImage("log4", pImg_cut[3]);
cvShowImage("log5", pImg_cut[4]);
cvShowImage("log6", pImg_cut[5]);
cvShowImage("log7", pImg_cut[6]);
cvShowImage("log8", pImg_cut[7]);
cvWaitKey(0);
cvDestroyWindow("canny");
cvReleaseImage(&pImg);
cvReleaseImage(&pImg_gray);
//cvReleaseImage(&pImg_bi);
return 0;
}
//printf("%s\n %s\n%s\n", argv[0],argv[1],argv[2]);
return -1;
}