News

2017-03-24: version 2.8.1

posted Mar 24, 2017, 1:25 AM by Ronald Ligteringen   [ updated Mar 24, 2017, 1:34 AM ]

Version 2.8.1 of DIPlib and DIPimage has been released.
Starting this version Windows 32-bits is no longer supported.


Problems with Matlab R2015b

posted May 18, 2016, 2:39 AM by Ronald Ligteringen

Matlab R2015b has a "feature" which results in an error with some DIPimage functions (e.g. read color images). This "feature" has been resolved in version R2016a.

In other words: do not use Matlab R2015b with DIPimage!!!

2016-05-18: Version 2.8

posted May 18, 2016, 2:30 AM by Ronald Ligteringen   [ updated May 18, 2016, 2:39 AM ]

Version 2.8 of DIPlib and DIPimage has been released.

2014-10-31: Version 2.7

posted Oct 30, 2014, 4:00 PM by Ronald Ligteringen   [ updated Oct 30, 2014, 4:09 PM ]

Version 2.7 of DIPlib and DIPimage has been released.

2014-04-14: Version 2.6

posted Apr 14, 2014, 4:37 AM by Ronald Ligteringen   [ updated Apr 15, 2014, 12:22 AM ]

Version 2.6 of DIPlib and DIPimage has been released.


2013-09-23: Version 2.5.1

posted Sep 23, 2013, 1:24 PM by Ronald Ligteringen   [ updated Sep 25, 2013, 11:43 AM ]

Version 2.5.1 of DIPlib and DIPimage has been released.

We fixed a few minor bugs concerning the computation with binary and complex images.

2013-06-12: Version 2.5

posted Jun 12, 2013, 5:21 AM by Ronald Ligteringen

Version 2.5 of DIPlib and DIPimage has been released

2012-04-03: Version 2.4.1

posted Apr 3, 2012, 12:56 AM by Ronald Ligteringen   [ updated Apr 4, 2012, 12:24 AM ]

Version 2.4.1 of DIPlib and DIPimage has been released

Click here for the changelist

2012-01-10: Version 2.4

posted Jan 10, 2012, 7:09 AM by Ronald Ligteringen   [ updated Jan 12, 2012, 3:33 AM by Cris Luengo ]

Version 2.4 of DIPlib and DIPimage has been released.

Click here for the changelist.

Book chapter on using DIPimage for rapid prototyping

posted Oct 6, 2011, 2:34 AM by Cris Luengo   [ updated Dec 29, 2011, 3:00 PM by Ronald Ligteringen ]

We've recently published a chapter in a book on medical image analysis edited by Geoff Dougherty. The chapter shows how you can use a tool like DIPimage to do rapid prototyping of an image analysis application. Rapid prototyping means quickly trying out new ideas, and requires being able to implement these ideas in a simple, intuitive manner, in little time, and for little cost. The chapter uses automated analysis of Pap smears as an example, taking the reader through the 60 years of advances in this field, and showing how the key concepts can be reproduced with only a few lines of code.

C.L. Luengo Hendriks, P. Malm and E. Bengtsson, Rapid prototyping of image analysis applications, in: G. Dougherty (ed.), Medical Image Processing: Techniques and Applications, ISBN 978-1-4419-9769-2, Springer, 2011. doi:10.1007/978-1-4419-9779-1_2

You can also find the book on Amazon.com, for example.

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