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Forest Fires Detection in Digital Images Based on Color Features

2017; Macrothink Institute; Volume: 02; Linguagem: Inglês

1948-5476

Viktor Tuba, Romana Capor Hrosik, Eva Tuba,

Smart Agriculture and AI

One of the biggest ecological catastrophes are forest fires. Early detections of the fires can have significant impact on the control of forest fires which is very important for successful extinguishing. Areal or satellite surveillance is one of the systems used for monitoring forest areas. Based on the images provided by this system, fire can be detected by using some image processing techniques. In this paper we proposed an algorithm for forest fires detection based on color features. Different characteristics of the color components of YCbCr color model were used to detect fire based on the predefined threshold values and combination of the components values. After pixel classification morphological operations were performed to remove incorrect classified pixels. Our proposed method successfully detected fire regions in forest images with different lightning conditions