Call for Papers for a Special Issue of Annals of Mathematics and Artificial Intelligence (Springer). Click here to see details.
IWCIA'14 will be held in Brno, Czech Republic
Pictures from IWCIA'12 are available here.
Best Student Paper Award:
for the paper "Discrete Polynomial Curve Fitting to Noisy Data"
for the paper "Binary Image Reconstruction from Two Projections and Skeletal Information"
IWCIA 2012 is the fifteenth of a series of international meetings on combinatorial image analysis. It will take place in Austin, Texas, USA, November 28-30, 2012. Previous meetings were held in Paris (France) 1991, Ube (Japan) 1992, Washington DC (USA) 1994, Lyon (France) 1995, Hiroshima (Japan) 1997, Madras (India) 1999, Caen (France, 2000),
Philadelphia (USA, 2001), Palermo (Italy, 2003), Auckland
(New Zealand, 2004), Berlin (Germany, 2006), Buffalo, NY (USA, 2008), Playa del Carmen (Mexico, 2009), and Madrid (Spain, 2011).
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, defence, 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 consists of keynote addresses, contributed papers presented in two parallel sessions, and posters.
The workshop proceedings are 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.
The Workshop is a forum for current research on topics such as the following:
- Combinatorial problems in the discrete plane and space related to image analysis; lattice polygons and polytopes
- Discrete/combinatorial geometry and topology and their use in image analysis
- Digital geometry of curves and surfaces
- Tilings and patterns; combinatorial pattern matching
- Image representation, segmentation, grouping, and reconstruction
- Methods for image compression
- Discrete tomography
- Applications of integer programming, linear programming, and computational geometry to problems of image analysis
- Parallel architectures and algorithms for image analysis
- Fuzzy and stochastic image analysis
- Grammars and models for image or scene analysis and recognition; cellular automata
- Mathematical morphology and its applications to image analysis
- Applications in medical imaging, biometrics, and others