Computer Science ›› 2016, Vol. 43 ›› Issue (5): 313-317.doi: 10.11896/j.issn.1002-137X.2016.05.060

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Forest Fire Image Recognition Algorithm Based on Wireless Multimedia Sensor Network of Hash Coding

CHANG Xiao-min, ZHAO Juan-juan, GE Lei, QIANG Yan and SHI Yao-hua   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Aiming at the existing problems about the application of the wireless multimedia sensor network(WMSN) in the forest fire monitoring,we proposed a forest fire recognition algorithm based on the mage hash code technology.First,we built the database of forest fire image and got database of corresponding hash code.Through extracting a series of static and dynamic characteristics of the flame image,we computed characteristic vector generation with the hash function to get the corresponding hash code.Second,we computed the hash code of the identified image,matched the ima-ge by calculating the hamming distance between the identified image and the image of database,and got the most similar image with the identified image,obtaining the conclusion of the presence of fire or non-fire.The experimental results show that the accuracy of flame recognition of this algorithm is 94.12%,and it is higher than other flame recognition algorithms based on the SVM,BP-neural network and sparse representation.Besides,this algorithm reduces the energy consumption of image transmission in WMSN,and improves the use efficiency of the network bandwidth.

Key words: Forest fire monitoring,Wireless media sensor network,Fire recognition,Image hash coding

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