我想将图像转换成OpenCV的铅笔素描 [英] I want to convert an image into pencil sketch in OpenCV

查看：311 发布时间：2016/8/18 13:10:19 c opencv

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问题描述

我试图将图像转换（从我的硬盘驱动器），以在 OpenCV的。我使用Visual Studio 2010中我才知道下面的步骤来做到这一点。

反转图像（请负）

高斯模糊。

混合上述图像由线性减淡或颜色减淡。

我已经完成了第一个2级（很容易）。现在我需要如何做线性减淡用C的信息。

的 <子>编辑添加... 的

我已经做了以下code的铅笔素描。但它使一个铅笔素描？请看到的结果。我怎样才能使它更好呢？

  INT主（INT ARGC，字符** argv的）
{
    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的IMG = cvLoadImage（输入文件）;
    *的IplImage = IMG1 cvCreateImage（cvSize（img-＆GT;宽度，img-＆GT;高度），img-＆GT;深度上，img-＆GT; N沟道）;
    *的IplImage IMG2 = cvCreateImage（cvSize（img-＆GT;宽度，img-＆GT;高度），img-＆GT;深度上，img-＆GT; N沟道）;
    * IplImage的DST = cvCreateImage（cvSize（img-＆GT;宽度，img-＆GT;高度），img-＆GT;深度上，img-＆GT; N沟道）;
    * IplImage的灰= cvCreateImage（cvGetSize（IMG），img-＆GT;深度上，1）;    cvNamedWindow（输入，CV_WINDOW_AUTOSIZE）;
    cvNamedWindow（输出，CV_WINDOW_AUTOSIZE）;    cvShowImage（输入，IMG）;
    cvNot（IMG，IMG1）;
    cvSmooth（IMG1，IMG2，CV_BLUR，25,25,0,0）;    对于（row_1 = 0; row_1＆LT; img1-＆GT;高度; row_1 ++）
    {
        对于（COL_1 = 0;＆COL_1 LT; img1-＆GT;宽度; 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-＆GT;的imageData [img1-＆GT; widthStep * row_1 + COL_1 * 3] = B_D;
            dst-＆GT;的imageData [img1-＆GT; widthStep * row_1 + COL_1 * 3 + 1] = G_D;
            dst-＆GT;的imageData [img1-＆GT; widthStep * row_1 + COL_1 * 3 + 2] = R_D;
        }
    }
    cvCvtColor（DST，灰色，CV_BGR2GRAY）;
    cvShowImage（输出，灰色）;    cvWaitKey（0）;
    cvReleaseImage（安培; IMG）;
    cvReleaseImage（安培;灰色）;
    cvDestroyWindow（输入）;
    cvDestroyWindow（输出）;
}

解决方案

好吧，你真的需要看看：<一href=\"http://www.barbato.us/2010/12/01/blimageblending-emulating-photoshops-blending-modes-opencv/#toc-blendlineardodge\"相对=nofollow> blImageBlending - 仿效Photoshop的OpenCV中的混合模式。该源$ C $ C显示操作究竟是如何完成的。在code的原开发商使用的命名blImage 数据结构，这是一种基于的shared_ptr 和的IplImage * 。你不需要它，当然。但知道它的定义将帮助您了解code。

我相信你有能力这样code转换为纯粹的OpenCV。

编辑：

有几个问题与code你走了过来。不管怎么说，这是现在固定的，我只是注释掉您code中的问题，让您可以更轻松地发现他们。

 的#include＆LT; cv.h＆GT;
＃包括LT＆;＆highgui.h GT;INT主（INT ARGC，字符** argv的）
{
    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的IMG = cvLoadImage（test.png）;
    *的IplImage = IMG1 cvCreateImage（cvSize（img-＆GT;宽度，img-＆GT;高度），img-＆GT;深度上，img-＆GT; N沟道）;
    *的IplImage IMG2 = cvCreateImage（cvSize（img-＆GT;宽度，img-＆GT;高度），img-＆GT;深度上，img-＆GT; N沟道）;
    * IplImage的DST = cvCreateImage（cvSize（img-＆GT;宽度，img-＆GT;高度），img-＆GT;深度上，img-＆GT; N沟道）;
    * IplImage的灰= cvCreateImage（cvGetSize（IMG），img-＆GT;深度上，1）;    cvNamedWindow（输入，CV_WINDOW_AUTOSIZE）;
    cvNamedWindow（输出，CV_WINDOW_AUTOSIZE）;    cvShowImage（输入，IMG）;
    cvNot（IMG，IMG1）;
 // cvSmooth（IMG1，IMG2，CV_BLUR，25,25,0,0）;
    cvSmooth（IMG，IMG2，CV_GAUSSIAN，7,7，0，0）; //最后修复:)    对于（row_1 = 0; row_1＆LT; img1-＆GT;高度; row_1 ++）
    {
        对于（COL_1 = 0;＆COL_1 LT; img1-＆GT;宽度; 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 =的std ::分（255，+ B_1 B_2）;
            G_D =的std ::分（255，+ G_1 G_2）;
            R_D =的std ::分（255，+ R_1 R_2）;            dst-＆GT;的imageData [img1-＆GT; widthStep * row_1 + COL_1 * 3] = B_D;
            dst-＆GT;的imageData [img1-＆GT; widthStep * row_1 + COL_1 * 3 + 1] = G_D;
            dst-＆GT;的imageData [img1-＆GT; widthStep * row_1 + COL_1 * 3 + 2] = R_D;
        }
    }
   cvCvtColor（DST，灰色，CV_BGR2GRAY）;
   cvShowImage（输出，灰色）;   cvWaitKey（0）;
   cvReleaseImage（安培; IMG）;
   cvReleaseImage（安培; IMG1）; //是的，你必须释放所有分配的内存。
   cvReleaseImage（安培; IMG2）;
   cvReleaseImage（安培; DST）;
   cvReleaseImage（安培;灰色）;
   cvDestroyWindow（输入）;
   cvDestroyWindow（输出）;
}

修改

我做了一个小改动，code来解决最后一个问题。你不是以下步骤：


反转图像（请负）

申请高斯模糊

将线性减淡或颜色减淡混合上面的图片

的负面形象必须从高斯模糊完全隔离。这些操作导致2不同的图像，他们都需要合并/线性躲闪混合。你被执行的负面形象的高斯模糊，那就是你的错了。我相信这是固定的。

I am trying to convert an image (from my hard drive) to a pencil sketch in OpenCV. I am using Visual Studio 2010. I came to know the following steps to do this.


invert the image (make negative)
apply Gaussian blur.
blend the above images by a linear dodge or color dodge.

I have done the first 2 steps (very easy). Now I need information about how to do the linear dodge in C.



_{edited to add…}

I have made the following code for the pencil sketch. But does it make a pencil sketch? Please see the result. How can I make it better?
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");
}

 解决方案 
Ok, you seriously need to take a look at: blImageBlending — Emulating photoshop’s blending modes in opencv. That source code shows exactly how that operation is done. The original developer of the code uses a data structure named blImage, which is a user-defined image data structure based on shared_ptr and IplImage*. You don't need it, of course. But knowing its definition will help you understand the code. 

I trust you are capable of converting this code to pure OpenCV.

EDIT:

There were several problems with the code you came up. Anyway, it's fixed now and I simply commented out the problems on your code so you can spot them more easily.
#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");
}
EDIT:

I made a small change to the code to fix the last problem. You were not following the steps:


invert the image (make negative)
apply Gaussian Blur
blend the above images by linear dodge or color dodge


The negative image must be completely isolated from the Gaussian blur. These operations result in 2 different images, and they both need to be combined/blended by linear dodge. You were executing the Gaussian blur on the negative image, and that was your mistake. I believe it's fixed.

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我想将图像转换成OpenCV的铅笔素描 [英] I want to convert an image into pencil sketch in OpenCV

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