OpenCV学习笔记之——图像变换
本帖最后由 三水 于 2011-10-3 23:08 编辑#include "stdafx.h"
#include "cv.h"
#include <cxcore.h>
#include <highgui.h>
void example2_4( IplImage* image )
{
// Create some windows to show the inpu
// and output images in.
//
cvNamedWindow( "Example2_4-in", CV_WINDOW_AUTOSIZE );
cvNamedWindow( "Example2_4-out", CV_WINDOW_AUTOSIZE );
// Create a window to show our input image
//
cvShowImage( "Example2_4-in", image );
// Create an image to hold the smoothed output
IplImage* out = cvCreateImage(
cvGetSize(image),
IPL_DEPTH_8U,
3
);
// Do the smoothing
//
cvSmooth( image, out, CV_GAUSSIAN, 5,5 );
cvSmooth( out, out, CV_GAUSSIAN, 5, 5);
// Show the smoothed image in the output window
//
cvShowImage( "Example2_4-out", out );
// Be tidy
//
cvReleaseImage( &out );
// Wait for the user to hit a key, then clean up the windows
//
cvWaitKey( 0 );
cvDestroyWindow("Example2_4-in" );
cvDestroyWindow("Example2_4-out" );
}
int main( int argc, char** argv )
{
argv="E:\lena.jpg";
IplImage* img = cvLoadImage( argv );
cvNamedWindow("Example1", CV_WINDOW_AUTOSIZE );
cvShowImage("Example1", img );
example2_4( img );
cvWaitKey(0);
cvReleaseImage( &img );
cvDestroyWindow("Example1");
}
cvShowImage()和学习笔记之初试中无异，cvCreateImage()来为新的帧分配空间且只分配一帧图像的空间，再次调用时覆盖前一次的数据(这样每次调用返回的指针是一样的)。
cvGetsize(image)获得CvSize结构，第一个参数说明里当前图像的结构大学结构，第二个参数告诉了我们各通道每个像素点的数据类型，最后一个参数说明了通道的总数。程序中图像通道是3个(每个通道为8位)。图像大小同image。
该例程为平滑处理函数，通过使用每个像素周围3*3区域进行高斯平滑处理。
#include "stdafx.h"
#include "cv.h"
#include <cxcore.h>
#include <highgui.h>
IplImage* doPyrDown(
IplImage* in,
int filter = IPL_GAUSSIAN_5x5)
{
// Best to make sure input image is divisible by two.
assert( in->width%2 == 0 && in->height%2 == 0 );
IplImage* out = cvCreateImage(
cvSize( in->width/2, in->height/2 ),
in->depth,
in->nChannels
);
cvPyrDown( in, out );
return( out );
};
int main( int argc, char** argv )
{
argv="E:\lena.jpg";
IplImage* img = cvLoadImage( argv );
IplImage* img2 = cvCreateImage(
cvSize( img->width/2,img->height/2 ),
img->depth, img->nChannels);
cvNamedWindow("Example1", CV_WINDOW_AUTOSIZE );
cvNamedWindow("Example2", CV_WINDOW_AUTOSIZE );
cvShowImage("Example1", img );
img2 = doPyrDown( img );
cvShowImage("Example2", img2 );
cvWaitKey(0);
cvReleaseImage( &img );
cvReleaseImage( &img2 );
cvDestroyWindow("Example1");
cvDestroyWindow("Example2");
}
#include "stdafx.h"
#include "cv.h"
#include <cxcore.h>
#include <highgui.h>
IplImage* doCanny(
IplImage* in,
double lowThresh,
double highThresh,
double aperture)
{
if (in->nChannels != 1)
return(0);
// Canny only handles gray scale images
IplImage* out = cvCreateImage(
cvGetSize( in ),
in->depth,
// IPL_DEPTH_8U,
1);
cvCanny( in, out, lowThresh, highThresh, aperture );
return( out );
};
int main( int argc, char** argv )
{
argv="E:\lena.jpg";
IplImage* img_rgb = cvLoadImage( argv );
IplImage* img_gry = cvCreateImage(
cvSize( img_rgb->width,img_rgb->height ),
img_rgb->depth,
1);
cvCvtColor(img_rgb, img_gry ,CV_BGR2GRAY);
cvNamedWindow("Example Gray", CV_WINDOW_AUTOSIZE );
cvNamedWindow("Example Canny", CV_WINDOW_AUTOSIZE );
cvShowImage("Example Gray", img_gry );
IplImage* img_cny = doCanny( img_gry, 10, 100, 3 );
cvShowImage("Example Canny", img_cny );
cvWaitKey(0);
cvReleaseImage( &img_rgb);
cvReleaseImage( &img_gry);
cvReleaseImage( &img_cny);
cvDestroyWindow("Example Gray");
cvDestroyWindow("Example Canny");
}
#include "stdafx.h"
#include "cv.h"
#include <cxcore.h>
#include <highgui.h>
IplImage* doCanny(
IplImage* in,
double lowThresh,
double highThresh,
double aperture)
{
IplImage* out = cvCreateImage(
cvGetSize( in ),
in->depth,
//IPL_DEPTH_8U,
1);
cvCanny( in, out, lowThresh, highThresh, aperture );
return( out );
};
IplImage* doPyrDown(
IplImage* in,
int filter = IPL_GAUSSIAN_5x5)
{
// Best to make sure input image is divisible by two.
//assert( in->width%2 == 0 && in->height%2 == 0 );
IplImage* out = cvCreateImage(
cvSize( in->width/2, in->height/2 ),
in->depth,
in->nChannels
);
cvPyrDown( in, out );
return( out );
};
int main( int argc, char** argv )
{
IplImage* img_rgb= cvLoadImage("E:\\lena.jpg");
IplImage* img_gry= cvCreateImage( cvSize( img_rgb->width,img_rgb->height ), img_rgb->depth, 1);
cvCvtColor(img_rgb, img_gry ,CV_BGR2GRAY);
IplImage* img_pyr= doPyrDown( img_gry, IPL_GAUSSIAN_5x5 );
IplImage* img_pyr2 = doPyrDown( img_pyr, IPL_GAUSSIAN_5x5 );
IplImage* img_cny= doCanny( img_pyr2, 10, 100, 3 );
cvNamedWindow("Example Gray", CV_WINDOW_AUTOSIZE );
cvNamedWindow("Example Pyr", CV_WINDOW_AUTOSIZE );
cvNamedWindow("Example Canny", CV_WINDOW_AUTOSIZE );
cvShowImage("Example Gray", img_gry );
cvShowImage("Example Pyr", img_pyr2 );
cvShowImage("Example Canny", img_cny );
cvWaitKey(0);
cvReleaseImage( &img_rgb);
cvReleaseImage( &img_gry);
cvReleaseImage( &img_pyr);
cvReleaseImage( &img_pyr2);
cvReleaseImage( &img_cny);
cvDestroyWindow("Example Gray");
cvDestroyWindow("Example Pyr");
cvDestroyWindow("Example Canny");
}
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