Archive for the ‘announcements’ Category

Moving

Thursday, November 26th, 2015

After seven years at the Centre for Image Analysis at Uppsala University, in Sweden, it is time again to move on. I am sad to leave this great position, my wonderful colleagues, and the fantastic Uppsala students. But such is life.

For the first time in my life, I am now working for a company. I am happy to say that I still have wonderful colleagues. I will probably miss having students around, but I certainly will not miss the grant writing.

I bother to mention this on this blog because, with my move away from Uppsala University, this blog is also relocating! The new URL is http://www.crisluengo.net/. Please update your bookmarks!

DIPimage 2.6 released

Monday, April 14th, 2014

Today we released version 2.6 of DIPimage and DIPlib. The change list is rather short. There are two items that I think are important: 1) We fixed a bug that caused an unnecessary copy of the output image(s) in the DIPlib-MEX interface, slowing down functions especially for large images. 2) We introduced a new setting to automatically make use of a feature introduced in the previous release.

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DIPimage 2.5.1 released

Friday, October 4th, 2013

We recently released a bugfix for DIPimage release 2.5. Since I didn’t announce the release of 2.5 here, this might be a good opportunity to review some of the improvements in 2.5.

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ISMM 2013

Saturday, June 30th, 2012

We are going to be organizing the 11th conference in a series dedicated to Mathematical Morphology. This is the main conference in the field, and many of the ideas within Mathematical Morphology were first presented there. I can’t count the number of times the proceedings for this series is mentioned in the reference list of my papers! The first call for papers just went out, I’m copying it here for anyone interested. For more information, visit the ISMM 2013 website.

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DIPimage 2.4 released

Thursday, January 12th, 2012

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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