Smoke Image Segmentation Based on Color Model

Autores/as

  • Deng Xing School of Science, Guizhou Minzu University, Guiyang, P.R.China, 550025; Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.
  • Yu Zhongming Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025; Liupanshui Normal University, Liupanshui, P.R.China,553000.
  • Wang Lin Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.
  • Li Jinlan School of Science, Guizhou Minzu University, Guiyang, P.R.China, 550025; Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.

DOI:

https://doi.org/10.24212/2179-3565.2015v6i2p130-138

Palabras clave:

Image segmentation, K-means algorithm, Color space, LAB, HSV

Resumen

Smoke is the most significant feature in the process of fire, so it’s possible to rely on smoke detection to detect fire. While the smoke image segmentation is the most difficult and also indispensable step in the analysis of smoke image detection. In order to improve its accuracy and effectively exclude the disturbances of non-smoke image, and lower the false alarm rate, it puts forward a kind of smoke image segmentation based on color model. It uses K-means clustering in Lab color space and threshold segmentation in HSV color space, then merges the two results. Finally, it uses the method of shen filter and regional mark to denoise, Experimental results on segmentation of smoke image show that the proposed method is able to segment smoke from the background.

Biografía del autor/a

Deng Xing, School of Science, Guizhou Minzu University, Guiyang, P.R.China, 550025; Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.

School of Science, Guizhou Minzu University, Guiyang, P.R.China, 550025;Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.

Yu Zhongming, Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025; Liupanshui Normal University, Liupanshui, P.R.China,553000.

Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025;Liupanshui Normal University, Liupanshui, P.R.China,553000.

Wang Lin, Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.

Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.

Li Jinlan, School of Science, Guizhou Minzu University, Guiyang, P.R.China, 550025; Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.

School of Science, Guizhou Minzu University, Guiyang, P.R.China, 550025;Guizhou provincial key laboratory of pattern recognition and intelligent system, Guiyang, P.R.China, 550025.

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Publicado

2015-08-11

Número

Vol. 6 Núm. 2 (2015)

Sección

Papers

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