Application of Mathematical Morphology and Markov Random Field Theory to the Automatic Extraction of Linear Features in Airborne Images.
Antonis KatartzisVeselin PizuricaHichem SahliPublished in: ISMM (2000)
Keyphrases
- markov random field
- mathematical morphology
- automatic extraction
- linear features
- image analysis
- mrf model
- edge detection
- morphological operators
- binary images
- image segmentation
- map estimation
- colour images
- input image
- graph cuts
- image data
- energy function
- morphological operations
- feature detection
- higher order
- gray scale
- maximum a posteriori
- image restoration
- natural images
- pairwise
- image features
- image registration
- principal components
- image processing
- multiscale
- object recognition
- hough transform
- image matching
- image regions
- segmentation method
- machine learning
- feature points
- high order
- aerial images
- keypoints
- pattern recognition