| The thesis mostly discusses fire detection techniques and smoke image recognition by utilizing the remote video monitoring system. Firstly, the basic theory of colorized image processing is introduced, the perceptual color clustering for image segmentation is realized in the condition of HIS color former; secondly, the image character is analyzed by using image processing technology, such as gray processing, two-value processing, filter and so on. According to above research, smoke images are classified and recognized by BP neural network. A great deal of different conditional experiments illustrate that BP neural network has many advantages, such as simple computing, wide applicability and good processing results. It is very useful for preventing fire and alleviating harms to our society and country. |
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