我正在尝试将图片(从我的硬盘驱动器)转换为OpenCV中的铅笔草图。我正在使用Visual Studio 2010.我开始了解以下步骤。
我已完成前两个步骤(非常简单)。现在我需要有关如何在C中进行线性闪避的信息。
编辑以添加...
我为铅笔素描制作了以下代码。但它是否会制作铅笔素描?请看结果。我怎样才能让它变得更好?
int main( int argc, char** argv )
{
int col_1, row_1;
uchar b_1, g_1, r_1, b_2, g_2, r_2, b_d, g_d, r_d;
IplImage* img = cvLoadImage( "input file");
IplImage* img1 = cvCreateImage( cvSize( img->width,img->height ), img->depth, img->nChannels);
IplImage* img2 = cvCreateImage( cvSize( img->width,img->height ), img->depth, img->nChannels);
IplImage* dst = cvCreateImage( cvSize( img->width,img->height ), img->depth, img->nChannels);
IplImage* gray= cvCreateImage(cvGetSize(img), img->depth, 1);
cvNamedWindow("Input", CV_WINDOW_AUTOSIZE );
cvNamedWindow("Output", CV_WINDOW_AUTOSIZE );
cvShowImage("Input", img );
cvNot(img, img1);
cvSmooth( img1, img2, CV_BLUR, 25,25,0,0);
for( row_1 = 0; row_1 < img1->height; row_1++ )
{
for ( col_1 = 0; col_1 < img1->width; col_1++ )
{
b_1 = CV_IMAGE_ELEM( img1, uchar, row_1, col_1 * 3 );
g_1 = CV_IMAGE_ELEM( img1, uchar, row_1, col_1 * 3 + 1 );
r_1 = CV_IMAGE_ELEM( img1, uchar, row_1, col_1 * 3 + 2 );
b_2 = CV_IMAGE_ELEM( img2, uchar, row_1, col_1 * 3 );
g_2 = CV_IMAGE_ELEM( img2, uchar, row_1, col_1 * 3 + 1 );
r_2 = CV_IMAGE_ELEM( img2, uchar, row_1, col_1 * 3 + 2 );
b_d = b_1 + b_2;
g_d = g_1 + g_2;
r_d = r_1 + r_2;
dst->imageData[img1->widthStep * row_1 + col_1* 3] = b_d;
dst->imageData[img1->widthStep * row_1 + col_1 * 3 + 1] = g_d;
dst->imageData[img1->widthStep * row_1 + col_1 * 3 + 2] = r_d;
}
}
cvCvtColor(dst, gray, CV_BGR2GRAY);
cvShowImage("Output", gray );
cvWaitKey(0);
cvReleaseImage( &img );
cvReleaseImage( &gray);
cvDestroyWindow("Input");
cvDestroyWindow("Output");
}
答案 0 :(得分:3)
我申请了
我通过上述方法获得了铅笔素描图像
答案 1 :(得分:2)
好的,你真的需要看看:blImageBlending — Emulating photoshop’s blending modes in opencv。该源代码确切地显示了该操作是如何完成的。该代码的原始开发人员使用data structure named blImage,这是基于shared_ptr
和IplImage*
的用户定义的图像数据结构。当然,你不需要它。但了解其定义将有助于您理解代码。
我相信您能够将此代码转换为纯OpenCV。
修改强>
您提出的代码存在一些问题。无论如何,它已经修复了,我只是在你的代码上注释了问题,这样你就可以更容易地发现它们。
#include <cv.h>
#include <highgui.h>
int main( int argc, char** argv )
{
int col_1, row_1;
uchar b_1, g_1, r_1, b_2, g_2, r_2, b_d, g_d, r_d;
IplImage* img = cvLoadImage("test.png");
IplImage* img1 = cvCreateImage( cvSize( img->width,img->height ), img->depth, img->nChannels);
IplImage* img2 = cvCreateImage( cvSize( img->width,img->height ), img->depth, img->nChannels);
IplImage* dst = cvCreateImage( cvSize( img->width,img->height ), img->depth, img->nChannels);
IplImage* gray= cvCreateImage(cvGetSize(img), img->depth, 1);
cvNamedWindow("Input", CV_WINDOW_AUTOSIZE );
cvNamedWindow("Output", CV_WINDOW_AUTOSIZE );
cvShowImage("Input", img );
cvNot(img, img1);
// cvSmooth(img1, img2, CV_BLUR, 25,25,0,0);
cvSmooth(img, img2, CV_GAUSSIAN, 7, 7, 0, 0); // last fix :)
for( row_1 = 0; row_1 < img1->height; row_1++ )
{
for ( col_1 = 0; col_1 < img1->width; col_1++ )
{
b_1 = CV_IMAGE_ELEM( img1, uchar, row_1, col_1 * 3 );
g_1 = CV_IMAGE_ELEM( img1, uchar, row_1, col_1 * 3 + 1 );
r_1 = CV_IMAGE_ELEM( img1, uchar, row_1, col_1 * 3 + 2 );
b_2 = CV_IMAGE_ELEM( img2, uchar, row_1, col_1 * 3 );
g_2 = CV_IMAGE_ELEM( img2, uchar, row_1, col_1 * 3 + 1 );
r_2 = CV_IMAGE_ELEM( img2, uchar, row_1, col_1 * 3 + 2 );
// b_d = b_1 + b_2;
// g_d = g_1 + g_2;
// r_d = r_1 + r_2;
b_d = std::min(255, b_1 + b_2);
g_d = std::min(255, g_1 + g_2);
r_d = std::min(255, r_1 + r_2);
dst->imageData[img1->widthStep * row_1 + col_1* 3] = b_d;
dst->imageData[img1->widthStep * row_1 + col_1 * 3 + 1] = g_d;
dst->imageData[img1->widthStep * row_1 + col_1 * 3 + 2] = r_d;
}
}
cvCvtColor(dst, gray, CV_BGR2GRAY);
cvShowImage("Output", gray );
cvWaitKey(0);
cvReleaseImage( &img );
cvReleaseImage( &img1 ); // Yes, you must release all the allocated memory.
cvReleaseImage( &img2 );
cvReleaseImage( &dst );
cvReleaseImage( &gray);
cvDestroyWindow("Input");
cvDestroyWindow("Output");
}
修改强>:
我对代码进行了一些小修改以修复最后一个问题。你没有遵循这些步骤:
负像必须与高斯模糊完全隔离。这些操作产生2个不同的图像,并且它们都需要通过线性闪避进行组合/混合。你在负片上执行高斯模糊,那是你的错。我相信它是固定的。