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HSV features are extracted from the image and trained by SVM to realize fire detection
4.0
HSV features are extracted from the image and trained by SVM to realize fire detection. A large number of HSV color features of fire images and non fire images are extracted. On this basis, SVM support vector machine is used to train the model, and then the new images are classified, fire or non fire
chuan_xia1
2016-11-19
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