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Comments (4)

torcellite avatar torcellite commented on July 21, 2024

You could convert both images to grayscale and then check for similarities.

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nibalk avatar nibalk commented on July 21, 2024

Thanks for the quick reply.
Does it mean that we have to do something like this ?
Imgproc.cvtColor(img1, img1, Imgproc.COLOR_RGBA2GRAY);
Imgproc.cvtColor(img2, img2, Imgproc.COLOR_RGBA2GRAY);
Or simply use the Android way of grayscale the image ?
Thanks!

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torcellite avatar torcellite commented on July 21, 2024

The code you've written above should do it.
On Feb 17, 2014 12:21 PM, "nibalk" [email protected] wrote:

Thanks for the quick reply.
Does it mean that we have to do something like this ?
Imgproc.cvtColor(img1, img1, Imgproc.COLOR_RGBA2GRAY);
Imgproc.cvtColor(img2, img2, Imgproc.COLOR_RGBA2GRAY);
Or simply use the Android way of grayscale the image ?
Thanks!

Reply to this email directly or view it on GitHubhttps://github.com//issues/2#issuecomment-35232441
.

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nibalk avatar nibalk commented on July 21, 2024

oopsss! Even if I tried it still it can't identify it as duplicate images :) I will have a look again.

Do you have any idea how to change the code to show only the mismatching areas of the two images. Currently it's showing the matching areas using green color lines. I want to do it the other way round. I have already tried passing the mismatches to below method. But didn't work.

I might be doing some crazy thing. :) I have no idea of OpenCV API. Any good resource to refer it.

Thanks!

///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

Features2d.drawMatches(img1, keypoints, img2, dupKeypoints,
missmatches,
img3, GREEN, RED, drawnMatches, Features2d.NOT_DRAW_SINGLE_POINTS);

///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
for (int i = 0; i < totalMatchCount; i++) {
if (matchesList.get(i).distance <= min_dist) {
matches_final.add(matchesList.get(i));
} else {
missmatches_temp.add(matchesList.get(i));
}
}
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

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