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- Title
Region duplication detection based on image segmentation and keypoint contexts.
- Authors
Lin, Cong; Lu, Wei; Sun, Wei; Zeng, Jinhua; Xu, Tianhua; Lai, Jian-Huang
- Abstract
In this paper, a novel region duplication detection method is proposed based on image segmentation and keypoint contexts. The proposed method includes the primary region duplication detection based on keypoints and the supplementary region duplication detection based on blocks. In the primary region duplication detection, an image is divided into non-overlapped patches by using SLIC. Furthermore, the keypoints are matched and clustered within the same patch as patch feature. Then the patches are matched and an affine transformation is tried to be estimated from a pair of patches. When the estimation fails, in the supplementary region duplication detection, a transformation matrix is tried to be estimated from a pair of keypoints by the proposed Keypoint Contexts (KC) approach. The experimental results indicate that the proposed method can achieve much better comprehensive performances than the state-of-the-art methods on the public databases, even under various challenging conditions.
- Subjects
FEATURE extraction; IMAGE segmentation; IMAGE processing; COPYING; DIGITAL images; COMPUTER crimes; CRIMINAL investigation; FORENSIC document examination
- Publication
Multimedia Tools & Applications, 2018, Vol 77, Issue 11, p14241
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-017-5027-9