PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: It concluded that our method for CMFD in the medical images was more accurate.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: It concluded that our method for CMFD in the medical images was more accurate.
摘要：
■数字设备可以轻松伪造医学图像。医学图像中的复制移动伪造检测（CMFD）导致了无法访问高级医疗设备的地区的滥用。复制移动图像的伪造直接影响医生的决策。这里讨论的方法是检测医学图像伪造的最佳方法。
■所提出的方法基于一种进化算法，该算法可以很好地检测假块。在第一阶段,在离散余弦变换（DCT）的帮助下，图像被带到信号电平。然后通过应用离散小波变换(DWT)来准备分割。DWT的低低频段，具有最多的图像属性，被分成块。使用平衡优化算法搜索每个块。区块最有可能被选中，并生成最终图像。
■基于三个精度标准对所提出的方法进行了评估，召回，和F1，并获得90.07%，92.34%,和91.56%，分别。它优于在医学图像上研究的方法。
■得出的结论是，我们在医学图像中用于CMFD的方法更准确。
■所提出的方法基于一种进化算法，该算法可以很好地检测假块。在第一阶段,在离散余弦变换（DCT）的帮助下，图像被带到信号电平。然后通过应用离散小波变换(DWT)来准备分割。DWT的低低频段，具有最多的图像属性，被分成块。使用平衡优化算法搜索每个块。区块最有可能被选中，并生成最终图像。
■基于三个精度标准对所提出的方法进行了评估，召回，和F1，并获得90.07%，92.34%,和91.56%，分别。它优于在医学图像上研究的方法。
■得出的结论是，我们在医学图像中用于CMFD的方法更准确。
