Robust deep image clustering using convolutional autoencoder with separable discrete Krawtchouk and Hahn orthogonal moments.
Aymane BoualiIlham ElouariachiAzeddine ZahiKhalid ZenkouarPublished in: Intell. Syst. Appl. (2024)
Keyphrases
- orthogonal moments
- moment invariants
- krawtchouk moments
- scale and rotation invariant
- orthogonal polynomials
- polar coordinates
- zernike moments
- image classification
- image segmentation
- multiscale
- template matching
- image analysis
- image representation
- partial occlusion
- input image
- image processing
- computer vision
- keypoints
- feature extraction
- pattern recognition
- image retrieval
- image features
- tchebichef moments
- similarity measure
- feature vectors
- affine transformation
- feature points
- deep learning
- markov random field
- texture classification
- higher order
- texture features