Image Forgery Detection Using Segmentation and Swarm Intelligent Algorithm

查看全文 作　　者：ZHAO [1]Fei;SHI [1]Wenchang;QIN [1]Bo;LIANG [1]Bin

机构地区：[1]School of Information, Renmin University of China, Beijing 100872, China

出　　处：《Wuhan University Journal of Natural Sciences》索引2017年第22卷第2期,共8页

基　　金：Supported by the National Natural Science Foundation of China(61472429,61070192,91018008,61303074,61170240);the National High Technology Research Development Program of China(863 Program)(2007AA01Z414);the National Science and Technology Major Project of China(2012ZX01039-004);the Beijing Natural Science Foundation(4122041) 摘　　要：Small or smooth cloned regions are difficult to be detected in image copy-move forgery(CMF)detection. Aiming at this problem,an effective method based on image segmentation and swarm intelligent(SI)algorithm is proposed. This method segments image into small nonoverlapping blocks. A calculation of smooth degree is given for each block. Test image is segmented into independent layers according to the smooth degree. SI algorithm is applied in finding the optimal detection parameters for each layer. These parameters are used to detect each layer by scale invariant features transform(SIFT)-based scheme,which can locate a mass of keypoints. The experimental results prove the good performance of the proposed method,which is effective to identify the CMF image with small or smooth cloned region. 关键词：拷贝行动伪造品察觉不变的特征转变的规模(筛) 聚集聪明的算法粒子群优化 TP 399

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Image Forgery Detection Using Segmentation and Swarm Intelligent Algorithm

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