 | 1 | initial version |
Given a multichannel image (e.g. BGR), what's the most efficient way to generate a (binary) 1C mask for pixel value equality?
cv::compare() works only for single channel images.
Using op== yields a 3C mask.
I can then reduce that but that seems like a wasteful second pass.
| | 2 | No.2 Revision |
Given a multichannel image (e.g. BGR), what's the most efficient way to generate a (binary) 1C mask for pixel value equality?
cv::compare() works only for single channel images.
Using op== yields a 3C mask.
I can then reduce that but that seems like a wasteful second pass.
Is there a single-pass way of doing this?
