wie bitwise_and auf cv :: Mat anwenden?

Question

Ich versuche Cartoon-Filter auf ein UIImage anzuwenden, mit Hilfe von OpenCV. Mein Code ist wie folgt

+ (UIImage *)createCartoonizedImageFromImage:(UIImage *)inputImage { 

int num_down = 2; //number of downsampling steps 

cv::Mat image_rgb = [self cvMatFromUIImage:inputImage]; 

cv::Mat image_color; 
cv::cvtColor(image_rgb, image_color, cv::COLOR_RGBA2RGB); 

//downsample image using Gaussian pyramid 
for(int i = 0; i < num_down; i++) 
{ 
    cv::pyrDown(image_color, image_color); 
} 

// apply bilateral filter 
cv::Mat image_bilateral = image_color.clone(); 
cv::bilateralFilter(image_color, image_bilateral, 9, 9, 7); 

// upsample image to original size 
for(int i = 0; i < num_down; i++) 
{ 
    cv::pyrUp(image_color, image_color); 
} 

// convert to grayscale 
cv::Mat image_gray; 
cv::cvtColor(image_rgb, image_gray, cv::COLOR_RGB2GRAY); 

// apply median blur 
cv::Mat image_blur; 
cv::medianBlur(image_gray, image_blur, 7); 

// detect and enhance edges 
cv::Mat image_edge; 
cv::adaptiveThreshold(image_blur, image_edge, 255, cv::ADAPTIVE_THRESH_MEAN_C, cv::THRESH_BINARY, 9, 2); 

// convert back to color, bit-AND with color image 
cv::cvtColor(image_edge, image_edge, cv::COLOR_GRAY2RGB); 
cv::Mat image_cartoon; 
cv::bitwise_and(image_bilateral, image_edge, image_cartoon); 

UIImage *cartoonImage = [self UIImageFromCVMat:image_cartoon]; 
return cartoonImage; 

} 

auf der Linie

cv::bitwise_and(image_bilateral, image_edge, image_cartoon); 

der obige Code gibt mir folgende Fehler

OpenCV Error: Sizes of input arguments do not match (The operation is neither 'array op array' (where arrays have the same size and type), nor 'array op scalar', nor 'scalar op array') in binary_op, file /Users/kyle/code/opensource/opencv/modules/core/src/arithm.cpp, line 225 
libc++abi.dylib: terminating with uncaught exception of type cv::Exception: /Users/kyle/code/opensource/opencv/modules/core/src/arithm.cpp:225: error: (-209) The operation is neither 'array op array' (where arrays have the same size and type), nor 'array op scalar', nor 'scalar op array' in function binary_op 

Meine Frage

Ich weiß, dass d Das Problem liegt bei den falschen Größen der Eingangsarrays. aber wie kann ich sie korrigieren und sie von gleicher Größe machen, ohne das Endergebnis zu beeinflussen?

Answer 1

Wie klar im OpenCV-Fehler angegeben: "Größen der Eingabeargumente stimmen nicht überein". d. h. image_bilateral.size! = image_edge.size(). Ein einfacher Debug-Druck wird den Trick machen! Also beim nächsten Mal versuchen Sie Ihren Debugger zu benutzen! Hier ist Ihr geänderter Code!

int num_down = 2; //number of downsampling steps 

    cv::Mat image_rgb = imread(FileName1,1); 

    cv::Mat image_color; 
    cv::cvtColor(image_rgb, image_color, cv::COLOR_RGBA2RGB); 

    //downsample image using Gaussian pyramid 
    for(int i = 0; i < num_down; i++) 
    { 
     cv::pyrDown(image_color, image_color); 
    } 

    // apply bilateral filter 
    cv::Mat image_bilateral = image_color.clone(); 
    cv::bilateralFilter(image_color, image_bilateral, 9, 9, 7); 

    // upsample image to original size 
    for(int i = 0; i < num_down; i++) 
    { 
     cv::pyrUp(image_color, image_color); 
     cv::pyrUp(image_bilateral, image_bilateral);//Bug <-- Here Missing to Resize the bilateralFilter image? 
    } 

    // convert to grayscale 
    cv::Mat image_gray; 
    //cv::cvtColor(image_rgb, image_gray, cv::COLOR_RGB2GRAY);//Bug <-- Using RGBA instead of RGB 
    cv::cvtColor(image_color, image_gray, cv::COLOR_RGB2GRAY); 

    // apply median blur 
    cv::Mat image_blur; 
    cv::medianBlur(image_gray, image_blur, 7); 

    // detect and enhance edges 
    cv::Mat image_edge; 
    cv::adaptiveThreshold(image_blur, image_edge, 255, cv::ADAPTIVE_THRESH_MEAN_C, cv::THRESH_BINARY, 9, 2); 

    // convert back to color, bit-AND with color image 
    cv::cvtColor(image_edge, image_edge, cv::COLOR_GRAY2RGB); 
    cv::Mat image_cartoon; 

    //cv::bitwise_and(image_bilateral, image_edge, image_cartoon);//Bug <-- Here Size of image_bilateral is 1/4 of the image_edge 
    cv::bitwise_and(image_bilateral, image_edge, image_cartoon); 

    imshow("Cartoon ",image_cartoon);