Texture classification using texture spectrum
Pattern Recognition
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Evolving cellular automata to perform computations: mechanisms and impediments
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Floating search methods in feature selection
Pattern Recognition Letters
An Unbiased Detector of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Grey scale convex hulls: definition, implementation and application
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
A Comparison of Algorithms for Connected Set Openings and Closings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using a genetic algorithm to evolve cellular automata for 2D/3D computational development
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Fitness landscape of the cellular automata majority problem: View from the "Olympus"
Theoretical Computer Science
Real-time disparity map computation module
Microprocessors & Microsystems
2D grey-level convex hull computation: a discrete 3D approach
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
On solving edge detection by emergence
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Wavelet-based statistical signal processing using hidden Markovmodels
IEEE Transactions on Signal Processing
Identification of the neighborhood and CA rules from spatio-temporal CA patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Image enhancement and denoising by complex diffusion processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Pattern generation using likelihood inference for cellular automata
IEEE Transactions on Image Processing
Training cellular automata for image processing
IEEE Transactions on Image Processing
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
Salt and pepper noise filtering with fuzzy-cellular automata
Computers and Electrical Engineering
| Hi-index | 0.00 |
This paper describes the application of cellular automata (CA) to various image processing tasks such as denoising and feature detection. Whereas our previous work mainly dealt with binary images, the current work operates on intensity images. The increased number of cell states (i.e. pixel intensities) leads to a vast increase in the number of possible rules. Therefore, a reduced intensity representation is used, leading to a three state CA that is more practical. In addition, a modified sequential floating forward search mechanism is developed in order to speed up the selection of good rule sets in the CA training stage. Results are compared with our previous method based on threshold decomposition, and are found to be generally superior. The results demonstrate that the CA is capable of being trained to perform many different tasks, and that the quality of these results is in many cases comparable or better than established specialised algorithms.