Drawing lines from Canny?

asked 2015-02-14 17:02:12 -0600

KevinWorkman
11 ●1 ●3 ●3

I posted this on StackOverflow here, but after only getting a few views, I've decided to crosspost here.

I'm a complete novice when it comes to OpenCV, so this is probably a dumb question.

I'm just trying to get something basic up and running- I want to draw the edges detected by the Canny algorithm directly on the image coming in. I currently have this:

I'm displaying the edge data from Canny directly, but now I want to get rid of the black and just show the white, on the image being processed.

I've tried googling things like "using binary image as alpha mask", but after a day of reading tutorials and trying everything I can find, I'm still not sure I know what's going on. OpenCV seems very powerful, so this is probably a pretty easy thing to do, so I'm hoping somebody can point me in the right direction.

Here's the code I'm using, most of which has been copied from the examples:

public Mat onCameraFrame(CvCameraViewFrame inputFrame) {

    Mat rgba = inputFrame.rgba();
    org.opencv.core.Size sizeRgba = rgba.size();

    Mat rgbaInnerWindow;


    int rows = (int) sizeRgba.height;
    int cols = (int) sizeRgba.width;

    int left = cols / 8;
    int top = rows / 8;

    int width = cols * 3 / 4;
    int height = rows * 3 / 4;

    //get sub-image
    rgbaInnerWindow = rgba.submat(top, top + height, left, left + width);

    //create edgesMat from sub-image
    Imgproc.Canny(rgbaInnerWindow, edgesMat, 100, 100);

    //copy the edgesMat back into the sub-image
   Imgproc.cvtColor(edgesMat, rgbaInnerWindow, Imgproc.COLOR_GRAY2BGRA, 4);

    rgbaInnerWindow.release();

    return rgba;
}

If anybody can point me to a basic example that does what I want, I'd be very grateful!

OpenCV edge detection screenshot

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Comments

Hi,I don't know why do you choice canny operation to detect line.You should choice Hough line or LSD, i think they are best choice.

wuling ( 2015-02-15 02:15:30 -0600 )edit

@wuling I chose canny because it was the first result for googling "OpenCV edge detection".

KevinWorkman ( 2015-02-15 10:15:38 -0600 )edit

I think wuling just got confused with "lines" , since actually you want to detect edges not lines ;)

Guanta ( 2015-02-15 10:21:50 -0600 )edit

:)Never mind,do what you want

wuling ( 2015-02-15 17:05:55 -0600 )edit

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answered 2015-02-15 06:47:14 -0600

Guanta
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So, you want to set all edges, which you got from Canny, to white in your original image. Here you can make use of bitwise_or (cvtColor only converts your color space):

Input image:

Input image

Canny output:

Canny output

Bitwise or of the input image with Canny:

bitwise_or

And here the code (I just used Python, however it should work similarly in C++ and should also work similarly in Java):

import cv2, numpy as np
img = cv2.imread('cat.jpg')
# it seems canny can only deal with 1 channel 8-bit images
# --> let's take the mean and convert to 8bit (could also use cvtColor instead)  
canny = cv2.Canny(np.mean(img, axis=2).astype(np.uint8), 50, 200)
cv2.imwrite('canny.png', canny)
# for bitwise_or the shape needs to be the same, so we need to add an axis, 
# since our input image has 3 axis while the canny output image has only one 2 axis
out = np.bitwise_or(img, canny[:,:,np.newaxis])
cv2.imwrite('out.png', out)

I used here numpys' bitwise_or function, but it exists also directly in OpenCV, see: http://docs.opencv.org/modules/core/doc/operations_on_arrays.html?highlight=bitwise_or#cv2.bitwise_or

Alternative 1: Another way would be to create a new mat as large as the input image, set everything to 255. Invert the canny output image (bitwise_not) and use this as mask for copyTo, i.e. img.copyTo(white_image, canny_invert);

Alternative 2: You can also do everything by hand, i.e. you could also just loop over the image and make a look up in your mask and set the image accordingly.

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answered 2015-02-23 13:20:47 -0600

KevinWorkman
11 ●1 ●3 ●3

Eventually I used the setTo() method to set the color, and then the copyTo() method to copy that color back to the original Mat:

 public Mat onCameraFrame(CvCameraViewFrame inputFrame) {

    Mat rgba = inputFrame.rgba();
    org.opencv.core.Size sizeRgba = rgba.size();

    int rows = (int) sizeRgba.height;
    int cols = (int) sizeRgba.width;

    int left = cols / 8;
    int top = rows / 8;
    int width = cols * 3 / 4;
    int height = rows * 3 / 4;

    //get sub-image
    Mat rgbaInnerWindow = rgba.submat(top, top + height, left, left + width);

    //create edgesMat from sub-image
    Imgproc.Canny(rgbaInnerWindow, edgesMat, 100, 100);

    Mat colorEdges = new Mat();
    Mat killMe = colorEdges;
    edgesMat.copyTo(colorEdges);
    Imgproc.cvtColor(colorEdges, colorEdges, Imgproc.COLOR_GRAY2BGRA);

    colorEdges = colorEdges.setTo(greenScalar, edgesMat);
    colorEdges.copyTo(rgbaInnerWindow, edgesMat);

    killMe.release();
    colorEdges.release();
    rgbaInnerWindow.release();

    return rgba;
}

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