Cris’s Image Analysis Blog

I’m pleased to announce that a new version of DIPimage has been released. There’s some performance improvements, some bug fixes, and some new functions. The measure function has some new features also, that use the convex hull of the objects. The Feret measure is computed differently now, also using the convex hull. This makes this computation more accurate and also somewhat faster.

But most importantly, we have rewritten a lot of the code that does binary arithmetic and logic operators. Binary here means these operators take two inputs. +, -, *, &, > and == are examples of binary operators. All of these used to be computed using MATLAB code, which required some nifty tricks. For example, computations between images of different type (i.e. an 8-bit integer image added to an 16-bit integer image) used to require data conversion because MATLAB cannot perform such a computation. All of these binary operators are now computed by DIPlib instead. This makes some cases much more efficient. We parallelized the arithmetic and logic code in DIPlib for further speed improvements.

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A new version of DIPimage and DIPlib has been released. You can get it at the the DIPlib website. This version fixes some bugs, adds compatibility for newer versions of MATLAB, and adds a few new functions. One interesting addition is that the function readim now will look for and use the Bio-Formats library if you install it. This means that a whole host of new image file formats are now readable. The Bio-Formats library is an open-source package created at the Laboratory for Optical and Computational Instrumentation (LOCI), University of Wisconsin-Madison. Unfortunately, their license doesn’t allow us to bundle the library with DIPimage. It is perfectly legal, however, for you to download and use the library.

I’m pleased to announce we’ve released a new version of DIPimage and DIPlib, with several relevant changes. For a full list of changes, please see the DIPlib website, here I’ll review the most salient changes.

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Last week the new release for DIPimage and DIPlib was made available at diplib.org. The change list is pretty substantial, though there should be no real compatibility concerns. One of the most important changes is that, for both Windows and Linux, some image processing functionality now can use multithreading to make best use of multi-processor and multi-core systems. For example, all separable filters will use all available cores by default. (more…)