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Angle correction of each line in an article

I want to correct each line in an article. if you have any idea please help me. i have used hough transformation to detect lines. but it doesn't work for all articles. so if you have any idea please help me...

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here i have posted the code too. it is for line detection. if you have any idea about correcting lines please help me

Angle correction of each line in an article

I want to correct each line in an article. if you have any idea please help me. i have used hough transformation to detect lines. but it doesn't work for all articles. so if you have any idea please help me...

include "stdafx.h"

include<opencv\cv.h>

include<opencv\cxcore.h>

include<opencv\highgui.h>

include <math.h>

include <stdlib.h>

int main(int argc, char** argv)

{

 IplImage* src = cvLoadImage("110.jpg");        
IplImage* dst;
IplImage* color_dst;
IplImage* tempx = cvCreateImage(cvGetSize(src),IPL_DEPTH_16S,1);


    CvMemStorage* storage = cvCreateMemStorage(0);
    CvSeq* lines = 0;
    int i;

    if( !src )
        return -1;

    dst = cvCreateImage( cvGetSize(src), 8, 1 );
    color_dst = cvCreateImage( cvGetSize(src), 8, 3 );  
    cvCanny( src, dst, 50, 200, 3 );

    cvCvtColor( dst, color_dst, CV_GRAY2BGR );
    CvSize size = cvGetSize(dst);



   lines = cvHoughLines2( dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/45, 50, 50, 10 );

       for( i = 0; i < lines->total; i++ )
    {
       CvPoint* line = (CvPoint*)cvGetSeqElem(lines,i);

cvLine( color_dst, line[0], line[1], /CV_RGB(255,0,0)/cvScalar(255, 0 ,0), 4, CV_AA, 0 );

     }



    cvNamedWindow( "Source", 1 );
    cvShowImage( "Source", dst );

    cvNamedWindow( "Hough", 1 );
    cvShowImage( "Hough", color_dst );

    cvWaitKey(0);

    return 0;
}

Angle correction of each line in an article

image description I want to correct each line in an article. if you have any idea please help me. i have used hough transformation to detect lines. but it doesn't work for all articles. so if you have any idea please help me...

include "stdafx.h"

include<opencv\cv.h>

include<opencv\cxcore.h>

include<opencv\highgui.h>

include <math.h>

include <stdlib.h>

int main(int argc, char** argv)

{

 IplImage* src = cvLoadImage("110.jpg");        
IplImage* dst;
IplImage* color_dst;
IplImage* tempx = cvCreateImage(cvGetSize(src),IPL_DEPTH_16S,1);


    CvMemStorage* storage = cvCreateMemStorage(0);
    CvSeq* lines = 0;
    int i;

    if( !src )
        return -1;

    dst = cvCreateImage( cvGetSize(src), 8, 1 );
    color_dst = cvCreateImage( cvGetSize(src), 8, 3 );  
    cvCanny( src, dst, 50, 200, 3 );

    cvCvtColor( dst, color_dst, CV_GRAY2BGR );
    CvSize size = cvGetSize(dst);



   lines = cvHoughLines2( dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/45, 50, 50, 10 );

       for( i = 0; i < lines->total; i++ )
    {
       CvPoint* line = (CvPoint*)cvGetSeqElem(lines,i);

cvLine( color_dst, line[0], line[1], /CV_RGB(255,0,0)/cvScalar(255, 0 ,0), 4, CV_AA, 0 );

     }



    cvNamedWindow( "Source", 1 );
    cvShowImage( "Source", dst );

    cvNamedWindow( "Hough", 1 );
    cvShowImage( "Hough", color_dst );

    cvWaitKey(0);

    return 0;
}

Angle correction of each line in an article

image description

I want to correct each line in an article. if you have any idea please help me. i have used hough transformation to detect lines. but it doesn't work for all articles. so if you have any idea please help me...

include "stdafx.h"

include<opencv\cv.h>

include<opencv\cxcore.h>

include<opencv\highgui.h>

include <math.h>

include <stdlib.h>

#include "stdafx.h"
#include<opencv\cv.h>
#include<opencv\cxcore.h>
#include<opencv\highgui.h>
#include <math.h>
#include <stdlib.h>

int main(int argc, char** argv)

{

{
    IplImage* src = cvLoadImage("110.jpg");       IplImage* dst;
 IplImage* color_dst;
 IplImage* tempx = cvCreateImage(cvGetSize(src),IPL_DEPTH_16S,1);
 
    CvMemStorage* storage = cvCreateMemStorage(0);
    CvSeq* lines = 0;
    int i;

    if( !src )
        return -1;

    dst = cvCreateImage( cvGetSize(src), 8, 1 );
    color_dst = cvCreateImage( cvGetSize(src), 8, 3 );  
    cvCanny( src, dst, 50, 200, 3 );

    cvCvtColor( dst, color_dst, CV_GRAY2BGR );
    CvSize size = cvGetSize(dst);

     lines = cvHoughLines2( dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/45, 50, 50, 10 );

     for( i = 0; i < lines->total; i++ )
    {
        CvPoint* line = (CvPoint*)cvGetSeqElem(lines,i);

cvLine( color_dst, line[0], line[1], /CV_RGB(255,0,0)/cvScalar(255, /*CV_RGB(255,0,0)*/cvScalar(255, 0 ,0), 4, CV_AA, 0 );

 );
    }
 
    cvNamedWindow( "Source", 1 );
    cvShowImage( "Source", dst );
     cvNamedWindow( "Hough", 1 );
    cvShowImage( "Hough", color_dst );
     cvWaitKey(0);
     return 0;
}