Earticle

초록

영어

Apply the separation principle of the physical contradictions in TRIZ into the simulation of forest fire smoke and propose a forest fire smoke recognition algorithm based on gray bit-plane(short in FFSGBP) to change the problem of identifying the smoke into the analysis on the bit-plane images. 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 smoke model. By adding motion operators to the original image, we could simulate the motion of discrete smoke better, by using mean filter, we could reduce the influence of noise, and it can improve the reliability of the experiments. The results show 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.

목차

Abstract
 1. Introduction
 2. Application of TRIZ to Analyze Smoke Identifying Simulation Problems
 3. Suspicious Forest Fire Smoke Region Detection Method based on Bit Plane Graph
 4. Experimental Verification
 5. Conclusion
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Xiaofang Sun [ Office of teaching affairs, Northeast Forestry University, Harbin, 150040, China ]
• Liping Sun [ College of Mechanical and Electrical Engineering, Northeast Forestry University Harbin, 150040, China ] corresponding author
• Yaqiu Liu [ College of Information & Computer Engineering, Northeast Forestry University Harbin, 150040, China ]
• Yinglai Huang [ College of Information & Computer Engineering, Northeast Forestry University Harbin, 150040, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605