Image analysis is a scientific discipline providing theoretical foundations and methods for solving problems appearing in a wide range of areas, as diverse as medicine, robotics, defense, and security. As a rule, the processed data are discrete; therefore, the "discrete approach" to image analysis appears to be a natural one and has an increasing importance. It is based on studying combinatorial properties of the considered digital data sets. Combinatorial image analysis often features various advantages (in terms of efficiency and accuracy) over the more traditional approaches based on continuous models requiring numeric computation.
The scientific program of the workshop will consist of keynote talks, contributed papers, and posters.
The conference proceedings will be published in the Springer's "Lecture Notes in Computer Science" series.
After the Workshop, the authors of the best ranked papers will be invited to submit extended versions of their works for publication in special journal issues. A tematic special issue of Information Sciences - Elsevier (impact factor 3.364) has already been arranged.
The Workshop is a forum for current research on the following (or similar) research subjects which are directly or potentially applicable to image analysis:
Special Track on Applications
In addition to the theoretical research papers, a special track on applications will be organized. Authors are expected to submit original papers describing in detail working computer systems for image analysis. The criteria for acceptance will be originality, efficiency and overall performance of the computer system.
The accepted papers will be published by Research Publishing Services or by a similar publisher. After the Workshop, the authors of the best ranked papers will be invited to submit extended versions of their works for publication in a special journal issue.