Real-time disparity map computation module
Microprocessors & Microsystems
A Neuro-Immune Inspired Robust Real Time Visual Tracking System
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
A Cellular Automatic Method for the Edge Detection of Images
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Fundamenta Informaticae - Membrane Computing
A CA-Based Self-organizing Environment: A Configurable Adaptive Illumination Facility
PaCT '09 Proceedings of the 10th International Conference on Parallel Computing Technologies
An Asynchronous Cellular Automata-Based Adaptive Illumination Facility
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Image processing using 3-state cellular automata
Computer Vision and Image Understanding
Evaluating lava flow hazard at Mount Etna (Italy) by a cellular automata based methodology
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
Discovery by genetic algorithm of cellular automata rules for pattern reconstruction task
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
A cellular automata-based modular lighting system
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
Learning cellular automata rules for pattern reconstruction task
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Content-based image recognition using cellular discrete-event system specifications methodology
Proceedings of the 45th Annual Simulation Symposium
Fundamenta Informaticae - Membrane Computing
Basic analysis of digital spike maps
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Segmenting images with gradient-based edge detection using Membrane Computing
Pattern Recognition Letters
Salt and pepper noise filtering with fuzzy-cellular automata
Computers and Electrical Engineering
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Experiments were carried out to investigate the possibility of training cellular automata (CA) to perform several image processing tasks. Even if only binary images are considered, the space of all possible rule sets is still very large, and so the training process is the main bottleneck of such an approach. In this paper, the sequential floating forward search method for feature selection was used to select good rule sets for a range of tasks, namely noise filtering (also applied to grayscale images using threshold decomposition), thinning, and convex hulls. Various objective functions for driving the search were considered. Several modifications to the standard CA formulation were made (the B-rule and two-cycle CAs), which were found, in some cases, to improve performance.