HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels.
Leonardo RundoAndrea TangherloniSimone GalimbertiPaolo CazzanigaRamona WoitekEvis SalaMarco S. NobileGiancarlo MauriPublished in: PaCT (2019)
Keyphrases
- medical images
- gray scale
- feature extraction
- gray level
- texture analysis
- texture features
- gray scale images
- binary images
- color images
- image intensity
- magnetic resonance
- medical image analysis
- mathematical morphology
- medical image segmentation
- medical imaging
- deformable models
- ct images
- medical data
- anatomical structures
- mr images
- magnetic resonance images
- computer aided diagnosis
- morphological operations
- imaging modalities
- clinical practice
- biomedical images
- segmentation of medical images
- region of interest
- magnetic resonance imaging
- x ray images
- medical diagnosis
- computed tomography
- feature vectors
- pattern recognition
- feature selection
- frequency domain
- inverse halftoning
- image processing
- face recognition
- clinical applications
- error diffusion
- input image
- wavelet transform
- feature space
- co occurrence
- contrast enhancement
- image classification
- local binary pattern