Forest Fire Smoke Recognition Based on Gray Bit Plane Technology

نویسندگان

  • Xiaofang Sun
  • Liping Sun
  • Yaqiu Liu
  • Yinglai Huang
چکیده

Apply the separation principle of the physical contradictions in TRIZ into the simulation of forest fire smoke; propose a forest fire smoke recognition algorithm based on gray bit-plane. To get eight images of moving smoke, the separation process on smoke moving images is necessary; use high-diagram image (the 7th,the 8th image) to extract contours, and extract the contour of the remaining images in the same position. Superimpose the information extracted, get the model of smoke. The results showed that compared with the traditional method based on HSI model, the proposed algorithm can achieve the fire smoke detection quickly and obtain the contour model of the smoke inside efficiently and accurately.

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تاریخ انتشار 2014