wip: trying out bbdt for 2D boolean case#42
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william-silversmith wants to merge 24 commits intomasterfrom
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wip: trying out bbdt for 2D boolean case#42william-silversmith wants to merge 24 commits intomasterfrom
william-silversmith wants to merge 24 commits intomasterfrom
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The last version was broken and slow
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Only write one label for every 4 in the first pass.
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Try using BBDT for the 2D boolean situation. This seems to work well for medical images in YACCLAB but on more noisy images, there is no change or a decrease in performance. I'll have to study this more.
For reference, this implementation of BBDT (the 2009 version) clocks about 320 MVx/sec vs the Optimized BBDT OpenCV version which is >500 MVx/sec on medical images. Previously, we were doing 280 MVx/sec (1.14x improvement).
I'm interested in seeing if this technique can be profitably extended to trinary images as well.