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Research and Realization on Image Auto-recognition System for Forest Fire

Author: YuRongHua
Tutor: ZhangSuYu
School: Nanchang University
Course: Control Theory and Control Engineering
Keywords: Forest fires Flame characteristics Image Recognition Image Segmentation
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 249
Quote: 12
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Abstract


Forest fires occur frequently at present , not only directly harm forest ecosystems, but also to human society causing huge losses. How to prevent forest fires , to achieve automatic monitoring of forest fires is the current important issues need to be resolved . In this paper, digital image processing, computer vision, pattern recognition and artificial intelligence techniques , through the forest fire image visual features in-depth analysis, design based on BP artificial neural network image recognition algorithm fire , final design and implementation of a complete forest fires automatic image recognition system . Main contents and conclusions are as follows: ( 1 ) image processing algorithms on fire to do a detailed study . According to color image color information to complete the space in the HSI color feature based clustering flame color image segmentation algorithm . ( 2 ) Improved Fire flame image recognition algorithm . Extraction fire flame color and shape characteristic parameters, these parameters together constitute a flame feature vectors , and implemented based on BP neural network model of fire flame image recognition algorithms. ( 3 ) Design and implementation of a forest fire automatic image recognition system. The overall design of the system hardware and software interface modules and procedures for the preparation of various software modules. Test results show that the system 's high recognition rate, low false alarm rate , the recognition speed, strong anti-interference , and has broad application prospects.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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