Quantitative Image Analysis in C++, MATLAB and Python
Version 2.4.1 of DIPlib and DIPimage has been released.
Changes to DIPimage
Inf
or NaN
again.bmajority()
, correctshift()
, countneighbours()
and extend()
did not properly restore the global boundary condition in case an error occurred.Changes to DIPlib
(These might or might not propagate to DIPimage)
NaN
or Inf
when dividing by 0 (instead of giving 0).dip_ScanFrameWork()
that caused dip_IsodataThreshold()
to crash under some circumstances.dipm_CDiv()
returned incorrect results.