Minimum description length clustering to measure meaningful image complexity.
Louis MahonThomas LukasiewiczPublished in: Pattern Recognit. (2024)
Keyphrases
- minimum description length
- image data
- input image
- information theoretic
- image features
- criterion function
- image content
- information theory
- template matching
- image analysis
- image classification
- multiscale
- clustering method
- similarity measure
- empirically derived
- feature points
- single image
- computer vision
- edge detection
- complexity measures
- image matching
- image retrieval
- dissimilarity measure
- image segmentation
- image pixels
- unsupervised learning
- image representation
- clustering algorithm
- high resolution
- similar objects
- test images
- machine learning
- image quality assessment
- quality measures
- image collections
- hierarchical clustering
- k means
- spatial information
- segmentation method
- low level
- data mining