Texture Analysis of Smoke for Real-Time Fire Detection

@article{Chunyu2009TextureAO,
  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},
  year={2009},
  volume={2},
  pages={511-515}
}
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
Highly Cited
This paper has 20 citations. REVIEW CITATIONS
13 Citations
8 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Lippmann , “ An introduction to computing with neural network ”

  • P. Richard

“ An image processing technique for automatically detecting forest fire ”

  • Jerome Vicente, Philippe. Guillemant
  • Internat . J . Therm . Sci .

Similar Papers

Loading similar papers…