Abstract
Today, the problem that invasive alien species threaten the local species is seriously happening on this planet. This happening will lost the biodiversity of the world. Therefore, in this paper, we propose an approach to identify and exterminate a specialized invasive alien fish species, the black bass. We combined the boosting method and statical texture analysis method for this destination. AdaBoost is used for fish detection, and the co-occurrence matrix is used for specified species identification. We catch the body texture pattern after finding the fish-like creature, and make a judgement based on several statistical evaluation parameter comes from co-occurrence matrix. Simulation result shows a reasonable possibility for identify a black bass from other fish species.
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Zhang, L., Yamawaki, A., Serikawa, S. (2015). Identify a Specified Fish Species by the Co-occurrence Matrix and AdaBoost. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-319-10389-1_8
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DOI: https://doi.org/10.1007/978-3-319-10389-1_8
Publisher Name: Springer, Cham
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