Source Image analysis Environment TINA (TINA Is No Acronym) is an open source environment developed to accelerate the process of image analysis research. TINA provides functionality to assist in all areas of image analysis including handling of image, image feature and geometrical data; statistical and numerical analysis of data; GUI development as well as transmission and containment of data. TINA also provides a range of high-level analysis techniques for both machine vision (3D object location, 2D object recognition, temporal-stereo depth estimation, etc) and medical image analysis (MR tissue segmentation, blood flow analysis, etc).
TINA core library development is currently funded by the EU as part of the IST programme under the Free Software: Towards Critical Mass call. This call aims to support and accelerate the development of key open source software within Europe and represents clear recognition by the EU of the potential of open source software development.
Open Source ImageMagick ImageMagick, version 6.2.8, is a software suite to create, edit, and compose bitmap images. It can read, convert and write images in a large variety of formats. Images can be cropped, colors can be changed, various effects can be applied, images can be rotated and combined, and text, lines, polygons, ellipses and Bézier curves can be added to images and stretched and rotated.
ImageMagick is free software delivered with full source code and can be freely used, copied, modified and distributed. Its license is compatible with the GPL. It runs on all major operating systems.
Most of the functionality of ImageMagick can be used interactively from the command line; more often, however, the features are used from programs written in the programming languages C, Ch, C++, Java, Lisp, Pascal, Perl, PHP, Python, Ruby, Tcl/Tk, for which ready-made ImageMagick interfaces
are available. This makes it possible to modify or create images automatically and dynamically.
Open Source Photography This is a repository of stock images focused primarily on the Palouse region of the Inland Northwest of America. Your are free to use and do what you want with these images. I apply the Creative Commons Licence to all this work. The only thing I request is appropriate attribution.
My primary focus is nature and landscape photography of the Palouse, the Clearwater River drainage and the northern portion of the Snake River drainage. This area covers South Eastern Washington, North Central Idaho and North Eastern Oregon.
If you use a photo please consider supporting this site by linking back and giving me attribution for my photos. Feel free to contact me at linux dot photo dot geek at gmail dot com and let me know how you used these images.
Open Source Digital Image Management Took As the technical assistant tasked with organizing the Archives and Special Collections' photo collections at Western Illinois University (WIU) Libraries, Kathy had already contacted archives around the state and found that others were also struggling to stay afloat amid a stream of digital management issues.
The challenges that Kathy described interested me, and I felt they might be addressed by the creative application of open source technology. Having recently developed several database-driven Web applications in my new role as coordinator of information systems for the libraries, I suggested that, by using local resources and expertise, it might be possible to develop a digital image management system that could dramatically improve the situation. Anyone who has ever interacted with library special collections, however, knows that by their very nature these wondrous treasuries of realia are altogether unique. So I was aware of the need to tread carefully in prescribing any specific technological solution.
Open Source Huygens Images Processing
While ESA takes its time to slowly release images, full collections of Huygens imagery have already been processed and refined well beyond anything ESA has done - see Amateur compositions of the Huygens images for one spectacular collection. This mosaic (R) shows the
drainiage systems' at Huygens' landing site. This panorama - in simulated colors, shows the location where Huygens landed from the air.
Then there is this animated GIF (1.6 mb) assembled from 98 surface shots. These individual frames are all still in need of some processing however, I cannot help but get the impression that something is flowing from the right to the left of the image - just past the larger ice rocks. Note: This may well be an optical illusion or artifact resulting from how these images were assembled.
Open source 'RFID's image problem The public image of RFID as a secretive tool of big business and government could improve if open source groups get involved in developing RFID standards, according to one UK charity.
Dr Humberto Moran, chief executive of Open Source Innovation, a software charity based in the UK, said that opponents of RFID would be reassured if the software and standards associated with RFID were created, where possible, under open licences.
Open standards and software would allow for greater transparency and help diffuse the "Orwellian" reputation that radio tags and the associated tracking technology have attracted, Moran said.
What has been happening is that privacy issues have created an unfair picture of RFID, but we think exactly the opposite
- it can improve lifestyle and has environmental benefits.
NIST Image Open Source Release
Despite existing efforts, building modern biometric applications (or biometric ?clients?) that are flexible with respect to changes in workflow, sensors, configuration, and responsiveness remains both difficult and costly. To help reduce the complexity and costs of implementing such an application, scientists at the National Institute of Standards and Technology (NIST) released this month, the *Multimodal Biometric Application Resource Kit*, or *MBARK* . MBARK is a set of modern software libraries, example applications, and public-domain source code that may be leveraged to develop the next-generation of biometric and personal identity verification applications.
Incorporating the MBARK libraries can yield a variety of enhancements critical for the success of any real-world system.
Source Generic Image Library
Images are a fundamental construct in Digital Imaging/Digital Video projects and yet the variability in pixel data representations (color space, bit depth, channel ordering, planar/interleaved, alignment policy) makes it hard to write imaging-related code that is both generic and efficient. This library allows for writing generic imaging algorithms with performance comparable to hand-writing for a particular image type.
The library is designed with the following five goals in mind:
* Generality: Abstracts image representations from algorithms on images. It allows for writing code once and have it work for any image type.
* Performance: Speed has been instrumental to the design of the library. The generic algorithms provided in the library are comparable in speed to hand-coding the algorithm for a specific image type.
* Flexibility: Compile-type parameter resolution results in faster code, but severely limits code flexibility. The library allows for any image parameter to be specified at run time (for a minor performance cost comparable to a virtual call overhead).