Erqian Dong

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A novel wildfire segmentation algorithm is proposed with the help of sample training based 2D histogram θ-division and minimum error. Based on minimum error principle and 2D color histogram, the θ-division methods were presented recently, but application of prior knowledge on them has not been explored. For the specific problem of wildfire segmentation, we(More)
In computer vision based fire detection systems, the fire sensing algorithm usually consists of two main parts: fire pixel classification, and analysis of the candidate regions. Purpose of the first step is to find a set of pixels which may be fire, and the second step is used to make decisions whether fire exists in the region. The algorithm proposed in(More)
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