教師資料查詢 | 類別: 會議論文 | 教師: 陳建彰 Chen, Chien-chang (瀏覽個人網頁)

標題:Robust Copy-move Forgery Detection through Invariant Moment Features
學年105
學期1
發表日期2016/11/14
作品名稱Robust Copy-move Forgery Detection through Invariant Moment Features
作品名稱(其他語言)
著者Chien-Chang Chen and Han Wang
作品所屬單位
出版者
會議名稱The Fifth International Conference on Informatics & Applications (ICIA 2016)
會議地點Takamatsu, Japan
摘要The proposed scheme uses the invariant features extracted from each block to detect the copy-move forgery detection regions in a digital image. In the proposed scheme, an image is first divided into overlapping blocks. Then, seven invariant moments of the maximum circle area in each block are calculated as moment features. Mean and variance of these seven moment features, as second feature set, are acquired for block comparison to reduce computation time. Thus, the proposed scheme takes limited computation time. The copy-move forgery regions can be found by matching the detected blocks with relative distance calculation. Experimental results show that the adopted moment features are efficient for detecting rotational or flipped duplicated regions.
關鍵字forgery duplication; invariant moment; mean; variance; clustering
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20161114~20161116
通訊作者
國別日本
公開徵稿
出版型式
出處The Fifth International Conference on Informatics & Applications (ICIA 2016)
相關連結
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