Particle Detection and Classification in Photoelectric Smoke Detectors Using Image Histogram Features.
Kapila K. PahalawattaRichard D. GreenPublished in: DICTA (2013)
Keyphrases
- image features
- extracting features
- image classification
- extracted features
- adaboost classifier
- feature representation
- textural features
- feature values
- feature detectors
- feature extraction
- feature vectors
- spatial pyramid matching
- object detection
- hog features
- automatic image orientation
- classification accuracy
- color and texture features
- histogram of oriented gradients
- low level
- color histogram
- image representation
- feature space
- hsv color
- histogram analysis
- grey level
- object detectors
- feature set
- image content
- classification method
- digital mammograms
- gray level co occurrence matrix
- input image
- weak classifiers
- support vector machine classification
- intensity histogram
- gray value
- confidence scores
- discriminative classifiers
- human detection
- color features
- test images
- multiscale
- object recognition
- keypoints
- false positives
- image retrieval
- binary patterns
- feature selection
- feature detection
- nearest neighborhood
- orientation histogram
- pixel intensities
- image regions
- gray level
- filtered images
- feature descriptors
- bounding box
- texture and shape features
- image segmentation
- interest point detectors
- dominant color
- support vector machine
- enhanced image
- intensity variations
- histogram equalization