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| #include "stdio.h"
#include "string.h"
#include "cv.h"
#include "conio.h"
#include "highgui.h"
#include "math.h"
#ifndef _EiC
#endif
char file_name[] = "test.jpg";
int pos;
int _threshold = 200;
int _brightness = 200;
int _contrast = 200;
int thr_low = 0.2, thr_high = 0.4;
int hist_size = 64;
float range_0[]={0,256};
float* ranges[] = { range_0 };
IplImage *img = 0, *dst_image = 0, *hist_image = 0, *img_bordes, *bn, *krl = 0,*src = 0;
CvHistogram *hist;
uchar lut[256];
CvMat* lut_mat;
//////////////////////////////////////TESTE MORPHOLOGY//
IplConvKernel* element = 0;
int element_shape = CV_SHAPE_RECT;
//the address of variable which receives trackbar position update
int max_iters = 10;
int open_close_pos = 0;
int erode_dilate_pos = 0;
///////////////////////////////////////////////////////////////////////////////////////
/* brightness/contrast callback function */
void update_brightcont( int arg )
{
int brightness = _brightness - 100;
int contrast = _contrast - 100;
int i, bin_w;
float max_value = 0;
if( contrast > 0 )
{
double delta = 127.*contrast/100;
double a = 255./(255. - delta*2);
double b = a*(brightness - delta);
for( i = 0; i < 256; i++ )
{
int v = cvRound(a*i + b);
if( v < 0 )
v = 0;
if( v > 255 )
v = 255;
lut[i] = (uchar)v;
}
}
else
{
double delta = -128.*contrast/100;
double a = (256.-delta*2)/255.;
double b = a*brightness + delta;
for( i = 0; i < 256; i++ )
{
int v = cvRound(a*i + b);
if( v < 0 )
v = 0;
if( v > 255 )
v = 255;
lut[i] = (uchar)v;
}
}
cvLUT( img, dst_image, lut_mat );
cvShowImage( "image", dst_image );
cvCalcHist( &dst_image, hist, 0, NULL );
cvZero( dst_image );
cvGetMinMaxHistValue( hist, 0, &max_value, 0, 0 );
cvScale( hist->bins, hist->bins, ((double)hist_image->height)/max_value, 0 );
/*cvNormalizeHist( hist, 1000 );*/
cvSet( hist_image, cvScalarAll(255), 0 );
bin_w = cvRound((double)hist_image->width/hist_size);
for( i = 0; i < hist_size; i++ )
cvRectangle( hist_image, cvPoint(i*bin_w, hist_image->height),
cvPoint((i+1)*bin_w, hist_image->height - cvRound(cvGetReal1D(hist->bins,i))),
cvScalarAll(0), -1, 8, 0 );
cvShowImage( "histogram", hist_image );
}
///////////////////////////////////////////////////////////////////////////////////////
int ola (void) {
int i,t;
img = cvLoadImage ( file_name , 0 );
if( !img )
{
printf("Image inexistente.\n");
getchar ();
return -1;
}
dst_image = cvCloneImage(img);
hist_image = cvCreateImage(cvSize(320,200), 8, 1);
hist = cvCreateHist(1, &hist_size, CV_HIST_ARRAY, ranges, 1);
lut_mat = cvCreateMatHeader( 1, 256, CV_8UC1 );
cvSetData( lut_mat, lut, 0 );
cvNamedWindow("image", 0);
cvMoveWindow("image", 500, 0);
cvNamedWindow("histogram", 0);
cvMoveWindow("histogram", 0, 0);
/*int cvCreateTrackbar( 1, 2, 3, 4, 5)
1 - const char* trackbar_name
2 - const char* window_name
3 - int* value
4 - int count
5 - CvTrackbarCallback on_change
*/
cvCreateTrackbar("brightness", "image", &_brightness, 200, update_brightcont);
cvCreateTrackbar("contrast", "image", &_contrast, 200, update_brightcont);
update_brightcont(0);
cvWaitKey(0);
cvReleaseImage(&img);
cvReleaseImage(&dst_image);
cvReleaseHist(&hist);
cvDestroyWindow( "Example1" );
return 0;
}
///////////////////////////////////////////////////////////////////////////////////////
int foto (CvCapture *capture) {
static int i ;
IplImage *frame2 = 0;
frame2 = cvQueryFrame( capture );
i++;
printf ("%d",i);
cvSaveImage( file_name+i , frame2);
//cvSaveImage( file_name , frame2);
ola ();
return 0;
}
///////////////////////////////////////////////////////////////////////////////////////
int captura (int argc, char** argv) {
CvCapture *capture = 0;
IplImage *frame = 0;
int key = 0;
int i=0;
/* initialize camera */
capture = cvCaptureFromCAM( -1 );
/* always check */
if ( !capture ) {
fprintf( stderr, "\nWebcam not detected!\nENTER to continue.." );
getchar();
return 1;
}
/* create a window for the video */
cvNamedWindow( "Camara", CV_WINDOW_AUTOSIZE );
while( key != 'q' ) {
/* get a frame */
frame = cvQueryFrame( capture );
/* always check */
if( !frame ) break;
/* display current frame */
cvShowImage( "Camara", frame );
key = cvWaitKey( 1 );
if (key == 'a')
foto (capture);
if (key == 'q') /* exit if user press 'q' */
break;
}
/* free memory */
cvDestroyWindow( "Camara" );
cvReleaseCapture( &capture );
return 0;
}
///////////////////////////////////////////////////////////////////////////////////////
int test ()
{
int i,j,k;
int temp1,temp2,temp3;//Temp variables
int height,width,step,channels;
int stepr, channelsr;
int temp=0;
uchar *data,*datar;
i=j=k=0;
IplImage *frame=cvLoadImage(file_name ,1);
IplImage *result=cvCreateImage( cvGetSize(frame), 8, 1 );
if(frame==NULL ) {
puts("unable to load the frame");exit(0);}
int diff=0;
printf("What do you want the Difference in the pixels to be..? ");
scanf("%d",&diff);
height = frame->height;
width = frame->width;
step =frame->widthStep;
channels = frame->nChannels;
data = (uchar *)frame->imageData;
cvNamedWindow("original",CV_WINDOW_AUTOSIZE);
cvNamedWindow("Result",CV_WINDOW_AUTOSIZE);
/*Here I use the Suffix r to diffenrentiate the result data and the frame data
Example :stepr denotes widthStep of the result IplImage and step is for frame IplImage*/
stepr=result->widthStep;
channelsr=result->nChannels;
datar = (uchar *)result->imageData;
for(i=0;i< (height-1);i++)
{
for(j=0;j<(width-1);j++)
{/*width-1 and height-1 to ovoid memory overleak*/
temp1=data[i*step+j*channels];/*Blue pix assigned to temp and same below*/
temp2=data[i*step+j*channels+1];/**/
temp3=data[i*step+j*channels+2];
if((temp1>(data[(i+1)*step+(j+1)*channels]+diff) ||(temp1)< data[(i+1)*step+(j+1)*channels]-diff )
//temp1 compared with the next pixel "(i+1)" and "(j+1)" means next pixel
&&( temp2>data[(i+1)*step+(j+1)*channels+1]+diff || temp2< data[(i+1)*step+(j+1)*channels+1]-diff)
//same as above here.comparing with the second channel and third channel.
&& (temp3>data[(i+1)*step+(j+1)*channels+2]+diff || temp3<data [(i+1)*step+(j+1)*channels+2]-diff)){
datar[(i)*stepr+(j)*channelsr]=255;// "&&" above because There should be difference in
//individually in all the channels."||" because when we compare 2 values one might be
//more or less than the other but not both
}
else datar[(i)*stepr+(j)*channelsr]=0;}}
/*If loop explanation
First taking the first channel and checking
If you want to use cvErode you may...*/
/*Destroying all the Windows*/
cvShowImage("original",frame);
cvShowImage("Result",result);
cvSaveImage("resultedges.jpg",result);
cvWaitKey(0);
cvDestroyAllWindows();
//cvDestroyWindow("original");
//cvDestroyWindow("Result");
return 0;
}
///////////////////////////////////////////////////////////////////////////////////////
int corner ()
{
IplImage* image;
image = cvLoadImage(file_name, CV_LOAD_IMAGE_COLOR );
if (!image)
return -1;
int method=1;
/* I will show three methods of finding corners */
printf("Digite methods:\n0-Laplaciano\n1-Sobel\n2-Canny\n");
scanf("%d",&method);
IplImage* workfile;
IplImage* workfile2;
IplImage* dst;
CvSize size = cvGetSize(image);
/* Allocate a CvSize, its a structure that have width and lenght, cvGetSize get the
size of the original image, so our corner image will have the same width and height
*/
workfile = cvCreateImage(size,IPL_DEPTH_8U,1);
workfile2 = cvCreateImage(size,IPL_DEPTH_8U,1);
dst = cvCreateImage(size,IPL_DEPTH_32F,1);
switch (method)
{
case 0: cvCvtColor( image, workfile, CV_RGB2GRAY );
cvLaplace( workfile, dst, 3 ); /* dst is IPL_DEPTH_32F, because cvLaplace
only accepts 8u->16s, 8u->32f, 32f->32f */
break;
case 1: cvCvtColor( image, workfile, CV_RGB2GRAY );
cvSobel( workfile, workfile2, 2, 0, 3 );
cvSobel( workfile, workfile, 0, 2, 3 );
cvAdd(workfile, workfile2, workfile, NULL);
break;
case 2: cvCvtColor( image, workfile, CV_RGB2GRAY );
cvCanny( workfile, workfile, 50,100, 3 );
break;
}
cvNamedWindow( "Original", CV_WINDOW_AUTOSIZE);
cvNamedWindow( "Corners", CV_WINDOW_AUTOSIZE);
cvShowImage("Original", image);
if (method == 0)
cvShowImage("Corners", dst);
else
cvShowImage("Corners", workfile);
cvWaitKey(0);
cvDestroyAllWindows();
/* Destroy all Windows */
/* Destroy todas as janelas */
if (method == 0)
cvSaveImage( "output.jpg", dst );
else
cvSaveImage( "output.jpg", workfile );
/* cvSaveImage save the image with the name inside "" */
cvReleaseImage(&image);
cvReleaseImage(&workfile);
return 0;
}
///////////////////////////////////////////////////////////////////////////////////////
int red()
{
int i,j,k,vermelho=15;
int height,width,step,channels;
int stepr, channelsr;
int temp=0;
uchar *data,*datar;
i=j=k=0;
IplImage *frame=cvLoadImage(file_name ,1);
IplImage *result=cvCreateImage( cvGetSize(frame), 8, 1 );
if(frame==NULL ) {
puts("unable to load the frame");exit(0);}
puts("frame loaded");
puts ("valor vermelho?");
scanf ("%d", &vermelho);
cvNamedWindow("original",CV_WINDOW_AUTOSIZE);
cvNamedWindow("Result",CV_WINDOW_AUTOSIZE);
height = frame->height;
width = frame->width;
step =frame->widthStep;
channels = frame->nChannels;
data = (uchar *)frame->imageData;
/*Here I use the Suffix r to diffenrentiate the result data and the frame data
Example :stepr denotes widthStep of the result IplImage and step is for frame IplImage*/
stepr=result->widthStep;
channelsr=result->nChannels;
datar = (uchar *)result->imageData;
for(i=0;i < (height);i++) for(j=0;j <(width);j++)
if(((data[i*step+j*channels+2]) > (vermelho+data[i*step+j*channels]))
&& ((data[i*step+j*channels+2]) > (vermelho+data[i*step+j*channels+1])))
datar[i*stepr+j*channelsr]=255;
else
datar[i*stepr+j*channelsr]=0;
/*If you want to use cvErode you may...*/
/*Destroying all the Windows*/
cvShowImage("original",frame);
cvShowImage("Result",result);
cvSaveImage("result.jpg",result);
cvWaitKey(0);
cvDestroyWindow("original");
cvDestroyWindow("Result");
return 0;
}
///////////////////////////////////////////////////////////////////////////////////////
void threshold()
{
int i=0;
printf ("\n 'q' go out");
img = cvLoadImage ( file_name , 0 );
krl = cvCreateImage( cvGetSize(img), img->depth, 1);
cvNamedWindow( "1" , CV_WINDOW_AUTOSIZE );
cvCreateTrackbar("threshold", "1", &_threshold, 255, NULL);
//Outros tipos de Threshold!!
//CV_THRESH_BINARY_INV
//CV_THRESH_TRUNC
//CV_THRESH_TOZERO_INV
//CV_THRESH_TOZERO
while(1) {
cvThreshold(img,krl,_threshold,255,CV_THRESH_BINARY);
cvShowImage ("1", krl);
char c = cvWaitKey(33);
if( c == 'q' ) break;
}
cvSaveImage("test2.jpg",krl);
cvReleaseImage(&img);
cvReleaseImage(&krl);
cvDestroyWindow( "1" );
}
///////////////////////////////////////////////////////////////////////////////////////
void Opening(int id) {
id;
cvErode(src,img,NULL,pos);
cvDilate(img,dst_image,NULL,pos);
cvShowImage("Opening&Closing window",dst_image);
}
void Closing(int id) {
id;
cvDilate(src,img,NULL,pos);
cvErode(img,dst_image,NULL,pos);
cvShowImage("Opening&Closing window",dst_image);
}
void Erosion(int id) {
id;
cvErode(src,dst_image,NULL,pos);
cvShowImage("Erosion&Dilation window",dst_image);
} //callback function for slider ,implements dilation
void Dilation(int id) {
id;
cvDilate(src,dst_image,NULL,pos);
cvShowImage("Erosion&Dilation window",dst_image);
}
void dila_ero() {
src = cvLoadImage("test2.jpg",0);
img = cvCloneImage(src);
dst_image = cvCloneImage(src);
//create windows for output images
cvNamedWindow("Opening&Closing window",1);
cvNamedWindow("Erosion&Dilation window",1);
cvShowImage("Opening&Closing window",src);
cvShowImage("Erosion&Dilation window",src);
cvCreateTrackbar("Open","Opening&Closing window",&pos,10,Opening);
cvCreateTrackbar("Close","Opening&Closing window",&pos,10,Closing);
cvCreateTrackbar("Dilate","Erosion&Dilation window",&pos,10,Dilation);
cvCreateTrackbar("Erode","Erosion&Dilation window",&pos,10,Erosion);
cvWaitKey(0);
//releases header an dimage data
cvReleaseImage(&src); cvReleaseImage(&img);
cvReleaseImage(&dst_image);
//destroys windows
cvDestroyWindow("Opening&Closing window");
cvDestroyWindow("Erosion&Dilation window");
}
///////////////////////////////////////////////////////////////////////////////////////
void OpenClose(int pos)
{
int n = open_close_pos - max_iters;
int an = n > 0 ? n : -n;
element = cvCreateStructuringElementEx( an*2+1, an*2+1, an, an, element_shape, 0 );
if( n < 0 )
{
cvErode(img,dst_image,element,1);
cvDilate(dst_image,dst_image,element,1);
}
else
{
cvDilate(img,dst_image,element,1);
cvErode(dst_image,dst_image,element,1);
}
cvReleaseStructuringElement(&element);
cvShowImage("Open/Close",dst_image);
}
// callback function for erode/dilate trackbar
void ErodeDilate(int pos)
{
int n = erode_dilate_pos - max_iters;
int an = n > 0 ? n : -n;
element = cvCreateStructuringElementEx( an*2+1, an*2+1, an, an, element_shape, 0 );
if( n < 0 )
{
cvErode(img,dst_image,element,1);
}
else
{
cvDilate(img,dst_image,element,1);
}
cvReleaseStructuringElement(&element);
cvShowImage("Erode/Dilate",dst_image);
}
void Morphology () {
img = cvLoadImage("test1.jpg",0);
dst_image = cvCloneImage(img);
//create windows for output images
cvNamedWindow("Open/Close",1);
cvNamedWindow("Erode/Dilate",1);
open_close_pos = erode_dilate_pos = max_iters;
cvCreateTrackbar("iterations", "Open/Close",&open_close_pos,max_iters*2+1,OpenClose);
cvCreateTrackbar("iterations", "Erode/Dilate",&erode_dilate_pos,max_iters*2+1,ErodeDilate);
OpenClose(open_close_pos);
ErodeDilate(erode_dilate_pos);
cvWaitKey(0);
/*
for(;;)
{
int c;
c = cvWaitKey(0);
if( c == 27 )
break;
if( c == 'e' )
element_shape = CV_SHAPE_ELLIPSE;
else if( c == 'r' )
element_shape = CV_SHAPE_RECT;
else if( c == 'c' )
element_shape = CV_SHAPE_CROSS;
else if( c == '\r' )
element_shape = (element_shape + 1) % 3;
}
*/
//release images
cvReleaseImage(&img);
cvReleaseImage(&dst_image);
//destroy windows
cvDestroyWindow("Open/Close");
cvDestroyWindow("Erode/Dilate");
}
///////////////////////////////////////////////////////////////////////////////////////
int main( int argc, char** argv ) {
int op;
puts ("1 --- camera on\n");
puts ("2 --- frame\n");
puts ("3 --- Corner\n");
puts ("4 --- Test\n");
puts ("5 --- Laser\n");
puts ("6 --- Threshold\n");
puts ("7 --- Erode & Dilate\n");
puts ("8 --- Morphology\n");
puts ("q --- sortir)");
op = getch ();
if (op == '1')
captura (0,0);
if (op == '2')
ola ();
if (op == '3')
corner ();
if (op == '4')
test();
if (op == '5')
red ();
if (op == '6')
threshold();
if (op == '7')
dila_ero();
if (op == '8')
Morphology();
} |
Problème de capture d'image et de seuil
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