Mathematical model of transforming image elements to structured data based on BP neural network

• Autores: Zhiyu Wang, Maojun Yang, Moaiad Ahmad Khder
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 7, Nº. 1, 2022, págs. 257-266
• Idioma: inglés
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• Resumen

  • The analysis and structural transformation of power-related picture elements is an essential result of regional power gridresearch. This paper proposes a new idea for extracting monolithic insulator images based on analysing the characteristicsof scanned colour grid power insulators. At the same time, the article extracts the RGB colour matrix of the insulatorbased on the BP neural network algorithm. Then, it uses it as a characteristic parameter for training and analysis. Com-bining the characteristics of image data, it is found that the model proposed in this paper enhances the ability to expressimages, thereby improving the accuracy of image classification. Furthermore, many experiments on the accurate data setof insulator monoliths show the effectiveness of this model