Segmentation and supervised classification of image objects in Epo doping-control.
Ivan BajlaFrantisek RublíkBarbora ArendackáIgor FarkasKlára HornisováSvorad StolcViktor WitkovskýPublished in: Mach. Vis. Appl. (2009)
Keyphrases
- supervised classification
- image regions
- image segmentation
- multiple objects
- segmentation method
- foreground background separation
- image segments
- image pixels
- image analysis
- bounding box
- segmentation algorithm
- multiscale
- grey level
- test images
- remotely sensed images
- image features
- unsupervised clustering
- input image
- object segmentation
- segmentation errors
- segmented images
- segmented regions
- region growing
- image data
- edge detection
- pixel level
- supervised learning
- seed points
- outdoor scenes
- level set
- similarity measure
- high resolution
- object contours
- foreground and background
- d objects
- object shapes
- fundamental problem in computer vision
- shape prior
- energy function
- single image
- background pixels
- computer vision
- machine learning
- image processing
- probabilistic model
- graph cuts
- object classes
- satellite images
- data mining