14th International Workshop on Combinatorial Image Analysis
For further information: http://www.uam.es/otros/iwcia11/
IWCIA’11 is the fourteenth of a series of international meetings on combinatorial image analysis. It will take place in Madrid, Spain, May 23-25, 2011. 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), and Playa del Carmen (Mexico, 2009).
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 (see also Journal Publication).
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 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
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<</p>
Mathematical morphology and its applications to image analysis
Applications in medical imaging, biometrics, and others
The submitted papers met very high standards satisfying serious evaluation criteria. Each paper was thoroughly reviewed by at least three referees. Double-blind review process ensured maximal objectiveness.