Machine Learning based Classification for Fire and Smoke Images Recognition.
Hedi JabnouniImen ArfaouiMohamed Ali CherniMoez BouchouichaMounir SayadiPublished in: CoDIT (2022)
Keyphrases
- machine learning
- pattern recognition
- image classification
- image recognition
- object recognition
- handwritten digits
- preprocessing stage
- image analysis
- machine learning methods
- input image
- decision trees
- image database
- image data
- visual object recognition
- feature extraction
- human recognition
- automatic recognition
- support vector machine
- extracting features
- object classification
- image matching
- three dimensional
- printed characters
- machine learning algorithms
- image features
- supervised learning
- support vector
- recognition process
- feature extraction and selection
- pigmented skin lesions
- computer vision
- image retrieval
- gabor filters
- character recognition
- thematic mapper
- feature selection
- feature space
- intra class variations
- traffic signs
- image set
- classification accuracy
- multiple classifiers
- data mining
- image processing
- supervised machine learning
- edge detection
- recognition rate
- text classification
- supervised classification
- action recognition
- test images
- partial occlusion