Abstract
Rapid development of unattended substation requires that computer image recognition technology should be applied to power system more imminently. This paper analyzes the advantages of applying fuzzy pattern recognition technique to electric online monitoring image color identification and classification, and proposes a new method. Firstly, the algorithm acquires all kinds of identification color center based on sample learning sets given by experts; then, it introduces fuzzy c-means (FCM) clustering method and connected graph traversal technique. Based on the identification of color membership of pixel’s corresponding color pattern and color’s no-mutation rules, this paper comprehensively analyzes the whole image to form each color pattern and obtain the color identification results of each area. This method is prevalently instructional to similar color automatic identification.
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Zhang, Y., Zhang, F., Zhu, Bq., Tang, L. (2016). Research on Automatic Identification of Color and Classification Applied to Electric Online Monitoring. In: Huang, B., Yao, Y. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control. Lecture Notes in Electrical Engineering, vol 367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48768-6_82
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DOI: https://doi.org/10.1007/978-3-662-48768-6_82
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