A review of recent texture segmentation and feature extraction techniques
CVGIP: Image Understanding
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
FuzzyTree crossover for multi-valued stock valuation
Information Sciences: an International Journal
A similarity measure for fuzzy rulebases based on linguistic gradients
Information Sciences: an International Journal
Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons
Information Sciences: an International Journal
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
The single-pass perceptual embedded zero-tree coding implementation on DSP
Computers & Mathematics with Applications
Monocular vision based 6D object localization for service robot's intelligent grasping
Computers & Mathematics with Applications
A nonparametric-based rib suppression method for chest radiographs
Computers & Mathematics with Applications
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In order to get better image processing and target recognition, this paper presents a fuzzy automata system to target recognition. The system first performs image processing, and then accomplishes the target recognition. The system consists of four parts: image preprocessing, feature extraction, target matching and experiment. Compared with existing approaches, this paper uses both global features and local features of the target image, and carries out target recognition by using a fuzzy automata system. Simulation results show that the correct recognition rate based on the fuzzy automata system for target recognition is higher at 94.59%, an improvement on an average of 29.24%, compared to other existing approaches. Finally, some directions for future research are described.