文档扫描仪iOS OpenCV [英] Document Scanner iOS OpenCV

问题描述

在这里，我尝试使用iOS中的OpenCV库在扫描图像后对其进行处理.但是我无法让您知道如何在imread()函数中传递图像源.

Here I'm trying to process image after scanning it, using OpenCV library in iOS. But I am unable you figure out how to pass image source in imread() function.

我必须通过的图像输入在下面的行中:-

the input for image that I have to pass is in below line :-

cv :: Mat输入= cv :: imread("tesy1.jpeg"，IMREAD_UNCHANGED);

cv::Mat input = cv::imread("tesy1.jpeg", IMREAD_UNCHANGED );

究竟如何使用imread()函数传递图像?

Exactly how to use imread() fuction to pass image?

有人可以帮我吗?

//我的代码 +(cv :: Mat)cvMatFromUIImage2:(UIImage *)图像 {

//My code + (cv::Mat)cvMatFromUIImage2:(UIImage*)image {

    cv::Mat input = cv::imread("tesy1.jpeg", IMREAD_UNCHANGED );
    int maxdim = input.cols; //std::max(input.rows,input.cols);
    const int dim = 1024;
    if ( maxdim > dim )
    {
        double scale = (double)dim/(double)maxdim;
        cv::Mat t;
        cv::resize( input, t, cv::Size(), scale,scale );
        input = t;
    }
    if ( input.type()!=CV_8UC3 )
       CV_Error(CV_HAL_ERROR_UNKNOWN,"!bgr");
    cv::Mat result;
    input.copyTo( result ); // result is just for drawing the text rectangles

    cv::Mat median;
    cv::medianBlur(input,median,5);
    cv::Mat localmax;
    // find local maximum
    cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT,cv::Size(15,15) );
    cv::morphologyEx( median,localmax,cv::MORPH_CLOSE,kernel,cv::Point(-1,-1),1,cv::BORDER_REFLECT101 );

    std::vector< cv::Rect > bb;
    // detectLetters by @William, modified to internally do the grayscale conversion if necessary
    // https://stackoverflow.com/questions/23506105/extracting-text-opencv?rq=1
//    detectLetters( input, bb );
    // compose a simple Gaussian model for text background (still assumed white)
    cv::Mat mask( input.size(),CV_8UC1,cv::Scalar( 0 ) );
    if ( bb.empty() )
        return input; // TODO; none found
    for ( size_t i=0;i<bb.size(); ++i )
    {
        cv::rectangle( result, bb[i], cv::Scalar(0,0,255),2,8 ); // visualize only
        cv::rectangle( mask, bb[i], cv::Scalar( 1 ), -1 ); // create a mask for cv::meanStdDev
    }
    cv::Mat mean,dev;
    cv::meanStdDev( localmax, mean, dev, mask );
    if ( mean.type()!=CV_64FC1 || dev.type()!=CV_64FC1 || mean.size()!=cv::Size(1,3) || dev.size()!=cv::Size(1,3) )
        CV_Error(CV_HAL_ERROR_UNKNOWN, "should never happen");
    double minimum[3];
    double maximum[3];
    // simply truncate the localmax according to our simple Gaussian model (+/- one standard deviation)
    for ( unsigned int u=0;u<3;++u )
    {
        minimum[u] = mean.at<double>(u ) - dev.at<double>( u );
        maximum[u] = mean.at<double>(u ) + dev.at<double>( u );
    }
    for ( int y=0;y<mask.rows;++y){
        for ( int x=0;x<mask.cols;++x){
            cv::Vec3b & col = localmax.at<cv::Vec3b>(y,x);
            for ( unsigned int u=0;u<3;++u )
            {
                if ( col[u]>maximum[u] )
                    col[u]=maximum[u];
                else if ( col[u]<minimum[u] )
                    col[u]=minimum[u];
            }
        }
    }
    // do the per pixel gain then
    cv::Mat dst;
    input.copyTo( dst );
    for ( int y=0;y<input.rows;++y){
        for ( int x=0;x<input.cols;++x){
            const cv::Vec3b & v1=input.at<cv::Vec3b>(y,x);
            const cv::Vec3b & v2=localmax.at<cv::Vec3b>(y,x);
            cv::Vec3b & v3=dst.at<cv::Vec3b>(y,x);
            for ( int i=0;i<3;++i )
            {
                double gain = 255.0/(double)v2[i];
                v3[i] = cv::saturate_cast<unsigned char>( gain * v1[i] );
            }
        }
    }
    // and dst is the result
    return dst;
}

推荐答案

最后解决了问题，我找到了解决方案.需要首先将图像转换为cv:Mat

Finally issue is sorted out,I got the solution. Need to first convert image into cv:Mat

参考文献:-扫描的文档-文本&使用OpenCV + iOS时背景清晰度不好

下面的方法会将UIImage转换为cvMat

Below method will convert UIImage to cvMat

+(cv::Mat)cvMatFromUIImage:(UIImage*)image
{
    CGColorSpaceRef colorSpace = CGImageGetColorSpace(image.CGImage);
    CGFloat cols = image.size.width;
    CGFloat rows = image.size.height;

    cv::Mat cvMat(rows, cols, CV_8UC4); // 8 bits per component, 4 channels (color channels + alpha)
    CGContextRef contextRef = CGBitmapContextCreate(cvMat.data,
                                                    cols,
                                                    rows,
                                                    8,
                                                    cvMat.step[0],
                                                    colorSpace,
                                                    kCGImageAlphaNoneSkipLast
                                                    | kCGBitmapByteOrderDefault); 

    CGContextDrawImage(contextRef, CGRectMake(0, 0, cols, rows), image.CGImage);
    CGContextRelease(contextRef);
    return cvMat;
}

这篇关于文档扫描仪iOS OpenCV的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！