a b s t r a c tIn 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.

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An increasing body of literature has addressed the applicability of lichens as biomonitors of atmospheric element deposition [1-3]. These organisms have been regarded as effective bioaccumulators of heavy metals and complex organic pollutants because lichens rely on the atmosphere for nutrients and have high capacities to accumulate and tolerate atmospheric pollutants [1-4]. In China, road traffic is one of the largest sources of emissions of atmospheric pollutants, which have negative effects on human health and the ecosystem

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