Quantitative Image Analysis in C++, MATLAB and Python
Version 2.7 of DIPlib and DIPimage has been released.
Changes to DIPimage
We have made some changes for compatibility with the new graphics system of MATLAB R2014b. Previous versions of DIPimage cannot be used with versions of MATLAB R2014b and newer, but this version of DIPimage does also work with older versions of MATLAB.
countingframeimplements a counting frame: it determines which objects in the image to count (or measure) to avoid a bias due to objects partially in the image.
ramp1are one-dimensional versions of the corresponding functions
ramp. With the new broadcasting operations in DIPimage (singleton expansion), these can save a lot of memory. For example,
xx1(im)^2+yy1(im)^2produces the same result as
xx(im)^2+yy(im)^2, but is much faster and uses less memory.
gaussianblobhas been rewritten to allow multiple blobs also in dimensionalities other than 2. The
sigmaparameter now can specify one sigma for each dimension and one sigma for each blob (this used to be: one sigma for each dimension if one blob was drawn, one sigma per blob if multiple blobs were drawn).
clipnow works with tensor and color images.
colorspacehas been rewritten. It is now much easier to add new color spaces.
dipshow(N,img)would create a new window if no window with handle
Nexisted, but the new window’s handle would not necessarily be
lutfunction once again uses the data type of the look-up table as the data type of the output image. It now also preserves singleton dimensions.
readtimeseriesnow works well again when the files being read contain color images.
thresholdwould fail in some situations.
'units'elements were wrong.
Changes to DIPlib
(These might or might not propagate to DIPimage)
dip_Clip()did not work correctly for images with data type
Changes to dipIO
(This propagates to DIPimage)
dipio_ImageReadColourSeries()did strange things when the files being read contained color images.