图像变换--灰度切割、位图切割

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;

}