Earticle

초록

영어

Traditional smoke recognition based on HSI model or frame differentiation method can not reach the effect of real-time processing due to large amount of computation and requirement of too many images. A kind of automatic method for recognizing forest fire smoke based on gray bit plane aiming at to improve the real-time performance is proposed, analyze the gray information of forest fire smoke and use method combining gray bit plane with adaptive area of forest fire smoke, first, build gray bit plane of smoke image, and then calculate combining with the characteristics reflected by smoke information in each bit plane in order to improve the real-time performance and finally obtain the area of forest fire smoke. Experimental results show that the accuracy of recognizing area by analyzing and calculating gray bit plane is consistent with the traditional method, which takes a shorter time in processing and has actual application prospect to a certain degree.

목차

Abstract
 1. Introduction
 2. Smoke Gray Plane Modeling
 3. Suspicious Forest Fire Smoke Region Detection Method based on Bit Plane Graph
 4. Experimental Verification
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Yinglai Huang [ Information and Computer Engineering College, Northeast Forestry University Harbin, China ]
• Shaoqing Tian [ Information and Computer Engineering College, Northeast Forestry University Harbin, China ]
• Xiaofang Sun [ Office of teaching affairs, Northeast Forestry University Harbin, China ]
• Meng Gao [ Information and Computer Engineering College, Northeast Forestry University Harbin, China ]
• Linlin Dai [ Dalian Vocational Technical College, Dalian, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605