Forgery detection in medical images with distinguished recognition of original and tampered regions using density-based clustering technique.
Anuja DixitRahul DixitPublished in: Appl. Soft Comput. (2022)
Keyphrases
- medical images
- density based clustering
- forgery detection
- region of interest
- digital images
- arbitrary shape
- jpeg compression
- medical imaging
- object recognition
- high efficiency
- feature extraction
- tampering detection
- pattern recognition
- clustering algorithm
- outlier detection
- distributed data mining
- image features
- categorical data
- image content