Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization.
Remy PeyretAhmed BouridaneFouad KhelifiMuhammad Atif TahirSomaya Ali Al-MáadeedPublished in: Neurocomputing (2018)
Keyphrases
- texture features
- local binary pattern
- multispectral
- automatic classification
- texture information
- multiscale
- image data
- image features
- texture classification
- gabor filters
- multispectral images
- texture analysis
- image analysis
- color features
- gray level co occurrence matrix
- multi band
- rotation invariant
- feature vectors
- texture descriptors
- spatial information
- texture images
- remote sensing
- edge detection
- shape features
- image classification
- gray level
- face recognition
- image database
- textural features
- feature set
- scale invariant
- input image
- feature extraction
- distance measure
- background subtraction
- color information
- image retrieval
- texture segmentation
- co occurrence
- image processing
- filter responses
- object recognition
- multiresolution
- automatic detection
- color histogram
- hyperspectral
- image content
- image fusion
- lighting conditions