医学图像中复制移动伪造检测的最优模型
The Optimal Model for Copy-Move Forgery Detection in Medical Images.
作者信息
Amiri Ehsan, Mosallanejad Ahmad, Sheikhahmadi Amir
机构信息
Department of Computer Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
Department of Computer Engineering, Sepidan Branch, Islamic Azad University, Ardakan, Sepidan, Iran.
出版信息
J Med Signals Sens. 2024 Mar 26;14:5. doi: 10.4103/jmss.jmss_35_22. eCollection 2024.
BACKGROUND
Digital devices can easily forge medical images. Copy-move forgery detection (CMFD) in medical image has led to abuses in areas where access to advanced medical devices is unavailable. Forgery of the copy-move image directly affects the doctor's decision. The method discussed here is an optimal method for detecting medical image forgery.
METHODS
The proposed method is based on an evolutionary algorithm that can detect fake blocks well. In the first stage, the image is taken to the signal level with the help of a discrete cosine transform (DCT). It is then ready for segmentation by applying discrete wavelet transform (DWT). The low-low band of DWT, which has the most image properties, is divided into blocks. Each block is searched using the equilibrium optimization algorithm. The blocks are most likely to be selected, and the final image is generated.
RESULTS
The proposed method was evaluated based on three criteria of precision, recall, and F1 and obtained 90.07%, 92.34%, and 91.56%, respectively. It is superior to the methods studied on medical images.
CONCLUSIONS
It concluded that our method for CMFD in the medical images was more accurate.
背景
数字设备能够轻易伪造医学图像。医学图像中的复制-移动伪造检测（CMFD）在无法获取先进医疗设备的地区引发了滥用现象。复制-移动图像的伪造直接影响医生的诊断决策。本文所讨论的方法是检测医学图像伪造的一种优化方法。
方法
所提出的方法基于一种能够很好地检测伪造块的进化算法。在第一阶段，借助离散余弦变换（DCT）将图像转换到信号层面。然后通过应用离散小波变换（DWT）准备进行分割。具有最多图像特征的DWT的低-低频带被划分为块。使用平衡优化算法对每个块进行搜索。最有可能被选中的块生成最终图像。
结果
所提出的方法基于精度、召回率和F1这三个标准进行评估，分别获得了90.07%、92.34%和91.56%的结果。它优于针对医学图像所研究的方法。
结论
得出结论，我们用于医学图像中CMFD的方法更为准确。
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