Texture Analysis of Smoke for Real-Time Fire Detection

  title={Texture Analysis of Smoke for Real-Time Fire Detection},
  author={Yu Chunyu and Zhang Yongming and Fang Jun and Wang Jinjun},
  journal={2009 Second International Workshop on Computer Science and Engineering},
Since the texture is an important feature of smoke, a novel method of texture analysis is proposed for real-time fire smoke detection. The texture analysis is based on gray level co-occurrence matrices (GLCM) and can distinguish smoke features from other none fire disturbances. For the realization of real-time fire detection, block processing technique is adopted and the computation of texture features is done to every block of image. Neural network is used to classify smoke texture features… CONTINUE READING
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