Adaptive classification of urinary sediment images using feedback training.
Satoshi MitsuyamaJun MotoikeHitoshi MatsuoPublished in: Systems and Computers in Japan (2001)
Keyphrases
- image classification
- training set
- image data
- image database
- training samples
- ground truth
- image analysis
- input image
- image features
- pattern recognition
- training process
- object recognition
- image retrieval
- segmentation method
- test images
- feature extraction
- pigmented skin lesions
- training examples
- text classification
- training phase
- hyperspectral images
- preprocessing stage
- edge detection
- three dimensional
- feature vectors
- feature points
- set of training images
- classification accuracy
- classification algorithm
- image matching
- image set
- discriminative classifiers
- image collections
- extracted features
- thematic mapper
- linearly combined
- feature selection
- decision trees
- multi layer perceptron
- learning algorithm
- training data
- gabor filters
- image annotation
- feature space
- segmentation algorithm
- image registration
- neural network
- supervised learning