Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns.
Meng DongMark G. EramianSimone A. LudwigRoger A. PiersonPublished in: Medical Biol. Eng. Comput. (2013)
Keyphrases
- rotation invariant
- automatic detection
- local binary pattern
- lymph nodes
- texture classification
- image texture
- texture information
- rotation invariance
- texture analysis
- image analysis
- spatial information
- multiscale
- gabor filters
- texture descriptors
- image descriptors
- scale invariance
- face recognition
- feature descriptors
- texture features
- background subtraction
- scale and rotation invariant
- dominant orientation
- image database
- zernike moments
- feature extraction
- filtered images
- image segmentation
- three dimensional
- feature vectors
- texture images
- image features
- input image
- image retrieval
- color descriptors
- cbir systems
- image sequences
- image matching
- image registration
- multi class
- moment invariants
- object recognition
- feature points
- gray level
- face detection