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 | 1 | initial version |
Use cv::absdiff.
When performing the subtraction, specify an "intermediate data depth" capable of storing all possible intermediate values - from the positive limit to the negative limit.
Example:
cv::Mat matDiff; // will be filled with result.
cv::Mat matTemp; // temporarily holds the intermediate result.
cv::subtract(matOne, matTwo, matTemp, cv::noArray(), CV_32S);
matTemp = cv::abs(matTemp);
matTemp.convertTo(matDiff, CV_8U); // Or other precisions (depths).
Both options should work. However, if you find that one of the options is not working as documented, be sure to file a bug report or share your findings here. Thanks.
| | 2 | No.2 Revision |
Use cv::absdiff.
When performing the subtraction, specify an "intermediate data depth" capable of storing all possible intermediate values - from the positive limit to the negative limit.
Example:
cv::Mat matDiff; // will be filled with result.
cv::Mat matTemp; // temporarily holds the intermediate result.
cv::subtract(matOne, matTwo, matTemp, cv::noArray(), CV_32S);
matTemp = cv::abs(matTemp);
matTemp.convertTo(matDiff, CV_8U); // Or other precisions (depths).
Both options should work. However, if you find that one of the options is not working as documented, be sure to file a bug report or share your findings here. Thanks.
I posted both options because my use of an earlier version of OpenCV had a bug in absdiff that requires the workaround. I haven't checked ever since. Anyone using the advice above should manually verify that the code works on their version of OpenCV before further use.