Improved SIFT-Based Copy-Move Detection Using BFSN Clustering and CFA Features.
Lu LiuRongrong NiYao ZhaoSiran LiPublished in: IIH-MSP (2014)
Keyphrases
- false positives
- clustering algorithm
- additional features
- low level
- cluster analysis
- clustering method
- feature vectors
- image features
- object detection
- detection rate
- anomaly detection
- hierarchical clustering
- high dimensionality
- data clustering
- detection method
- boundary detection
- unsupervised feature selection
- keypoints
- self organizing maps
- unsupervised learning
- feature set
- classification accuracy
- k means
- feature space