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作者机构:School of Information and Communication Engineering Hainan University Hainan Haikou China State Key Laboratory of Marine Resource Utilisation in the South China Sea Hainan University Hainan Haikou China School of Computing and Mathematical Sciences University of Greenwich England London United Kingdom
出 版 物:《International Journal of Wireless and Mobile Computing》 (Int. J. Wireless Mobile Comput.)
年 卷 期:2022年第23卷第2期
页 面:163-172页
核心收录:
学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 1205[管理学-图书情报与档案管理] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0835[工学-软件工程] 0803[工学-光学工程] 0701[理学-数学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:This work was supported in part by the Key Research Project of Hainan Province under Grant No. ZDYF2021SHFZ093 the Natural Science Foundation of China under Grant No. 62063004 and 62162022 the Hainan Provincial Natural Science Foundation of China under Grant No. 2019RC018 and 619QN246 and the Post-doctor research from Zhejiang Province under Grant No. ZJ2021028
主 题:K means clustering
摘 要:To better protect patient information in medical images and improve the security of medical image transmission, this paper studies a robust watermarking algorithm for medical images based on K-means and Discrete Cosine Transform (DCT). Firstly, the watermark is preprocessed by chaotic encryption to make it more secure. Then, the K-means clustering algorithm is used to classify the grey values of the pixels in the medical image to obtain the feature image after the cluster segmentation;then the DCT is used to extract the feature coefficient matrix and transform it into the feature hash sequence of the image. Finally, the zero-watermark technology is used to combine the feature hash sequence with the encrypted watermark to realise the embedding and extraction of the watermark. Experiments show that the algorithm not only can resist conventional attacks, but also has good robustness against geometric attacks. Copyright © 2022 Inderscience Enterprises Ltd.