Fire Detection Based on Feature of Corner

• Main Authors: CHEN, HUNG-JUNG, 陳宏榮
• Other Authors: HONG,GUO-MING
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/2d47s4

碩士 === 開南大學 === 資訊學院碩士在職專班 === 106 === The purpose of this study is to study the detection of forest fire detection in the field of fire, hoping to use digital image video recognition method, which can be used in fire detection and prevention system in the future. At present, according to statistics from the Fire Department of the Ministry of the Interior over the years, the number of fires occurring in buildings exceeds 75% of the total number of occurrences. Therefore, due to factors such as market size and population density, System is more mature, manufacturers have developed related equipment and systems also have more options. Types are broadly divided into the flame temperature of the use of temperature-sensitive, flame-sensitive light type, flame smoke and flame gas chemical composition of the gas-type flame detector of different characteristics, to detect the fire. This paper focuses on fire detection in the forest field, considering the use of digital image processing methods to detect flames. Many researchers have put forward the relevant algorithms, such as support vector machine, wavelet analysis, Gaussian mixture model, KFM, particle swarm optimization and so on, using the digital image processing method of flame detection. This study attempts to use digital images Corner detection method of edge detection, and K-mean clustering algorithm, regional growing method, background subtraction method to improve the accuracy of corner detection, and remove the number of false corners.