Quantitative Image Analysis in C++, MATLAB and Python
Version 2.6 of DIPlib and DIPimage has been released.
Changes to DIPimage
'KeepDataType'
in dipsetpref
causes arithmetic operations to produce an output image of the same type as the input. This option should be set to 'on'
when memory is limited and images are large. Note that overflow can occur and will not be detected!dipgetpref
now returns boolean preference values as a boolean rather than a string 'on'
/'off'
, for ease of use.mdhistogram
where using the bins_format
input argument only worked properly for 1D.
Output images from DIPlib functions were copied in the DIP-MEX interface. We’re not sure since which version of MATLAB this happened, but it won’t happen any more.Changes to DIPlib
(These might or might not propagate to DIPimage)
dip_Mean()
and the like so that pixels where the mask has a value of 0 are not used in the computation; this lead to NaN values propagating to the output even if they were “masked out”. Also fixed bug in some of the functions that use the mask as weights, but tested for the mask to be a binary image; it is now possible for example to compute weighted means.See this blog post for more in-depth information about the changes.