Detecção de Vazamento de Gás Natural com Base nas Componentes dos Espaços de Cores RGB e HSI Usando Filtro de Novidade
(Leak Detection of Natural Gas with Base on the Components of Color Spaces RGB and HSI Using Novelty Filter)
Roberlanio Oliveira Melo (firstname.lastname@example.org), Cícero Ferreira Fernandes Costa Filho (), Marly Guimarães Fernandes Costa ()
Centro de Tecnologia Eletrônica e da Informação ‑ Universidade Federal do Amazonas (UFAM) ‑ Amazonas ‑ AM ‑ Brasil
This paper appears in: Revista IEEE América Latina
Publication Date: Dec. 2014
Volume: 12, Issue: 8
This paper proposes a method of detecting natural gas leak in oil installations, applying pattern recognition techniques to digital images using the concept of novelty classifier with digital images originated from Closed-Circuit Television of installation. For this, it was developed six different types of novelty classifiers. The difference between these classifiers is the color component of color space (RGB or HIS) used for novelty classifier training. The results obtained are promising, with an accuracy of 98.52%
natural gas, digital images, novelty filter, closed-circuit television system.
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