A new PSO-based approach to fire flame detection using K-Medoids clustering
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- 作者：Amin Khatami ; a ; skhatami@deakin.edu.au" class="auth_mail" title="E-mail the corresponding author ; Saeed Mirghasemib ; saeed.mirghasemi@ecs.vuw.ac.nz" class="auth_mail" title="E-mail the corresponding author ; Abbas Khosravia ; abbas.khosravi@deakin.edu.au" class="auth_mail" title="E-mail the corresponding author ; Chee Peng Lima ; chee.lim@deakin.edu.au" class="auth_mail" title="E-mail the corresponding author ; Saeid Nahavandia ; saeid.nahavandi@deakin.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Fire detection ; Particle swarm optimisation ; K-medoids ; Otsu&rsquo ; s thresholding method ; Contrast enhancement
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：68
- 期：Complete
- 页码：69-80
- 全文大小：4349 K
文摘
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Colour space with a linear multiplication of a conversion matrix and colour features.
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A contrast enhancement method is performed on RGB images before conversion.
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PSO and sample pixels obtain weights of the colour-differentiator conversion matrix.
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K-medoids provides a fitness metric for the PSO procedure.