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Over-Segmentation Based Image Forgery Detection
Bi, Xiu-Li; Pun, Chi-Man; Yuan, Xiao-Chen
Conference NameInternational Conference on Electronic Science and Automation Control (ESAC), 2015.
Source PublicationProceedings of the 2015 International Conference on Electronic Science and Automation Control
Conference Date2015-8-15
Conference PlaceZhengzhou, China

—This paper proposes an adaptive over-segmentation meth-od for image copy-move forgery detection. Firstly, the Adaptive Over-Segmentation algorithm is proposed to adaptively segment the host image into non-overlapping and irregular blocks. Then the feature points are extracted and matched with each other to locate the labeled feature points which can approximately indicate the suspected forgery regions. Finally the labeled feature points are processed and the morphological operation is applied to generate the detected forgery regions. Experimental results indicate the good performance of the proposed copy-move forgery detection.

KeywordCopy-move Forgery Detection Adaptive Oversegmentation Non-overlapping And Irregular Blocks
URLView the original
Indexed BySCI
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000364830600007
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Document TypeConference paper
CollectionFaculty of Science and Technology
AffiliationUniversity of Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Bi, Xiu-Li,Pun, Chi-Man,Yuan, Xiao-Chen. Over-Segmentation Based Image Forgery Detection[C],2015.
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