ID 原文 译文
38916 Copy-move是一种常用的图像伪造手段，它通过复制图像的某一区域，移动并粘贴到同一图像的其他位置，达到掩盖重要信息或伪造虚假场景的目的。 Copy-move is a common attacking method for producing image forgeries. A certain area of an image is copied and then pasted over another area of the image to conceal important information or construct a fake scene.
38917 近年来，为了防止copy-move被用于违法犯罪，copy-move伪造检测技术迅猛发展，在维护社会运行秩序和信息安全方面发挥着积极作用。 In recent years, in order to prevent copy-move attack from being abused in illegal activities, the methods for copy-move forgery detection have been developed rapidly. These forensics methods play positive roles in maintaining social order and securing information.
38918 本文提出一种基于条件生成对抗网络(conditional Generative Adversarial Networks， cGANs)的copy-move伪造检测方法。 In this paper, based on conditional generative adversarial networks(cGANs), a novel method is proposed for the detection of copy-move forgery.
38919 针对图像copy-move伪造检测，该方法优化设计了cGANs的损失函数，并使用适量的弱监督样本来提升网络性能。 To boost the detection performance, the loss function of cGANs is optimally designed, and an appropriate amount of weakly supervised samples are utilized to improve the network.
38920 不同于目前大部分检测算法，该方法不仅可以定位出图像中的相似区域，还可以有效区分伪造来源区域和伪造目标区域。 Unlike most existing detection methods, the proposed method can not only detect similar regions in an image, but also effectively distinguish between source forgery regions and target forgery regions.
38921 实验结果表明，本文所提出的方法在检测准确率上显著优于现有方法。 Extensive experimental results show that the proposed method remarkably outperforms the compared methods in detection accuracy.
38922 现有的直觉模糊聚类算法应用于图像分割时，往往只考虑图像的像素信息，忽略了图像的几何特征和区域信息，使得分割效果不太理想。 When the existing intuitionistic fuzzy clustering algorithms are applied to image segmentation, only the pixel information of the image is considered. Furthermore, due to neglecting the geometric features and regional information of the image, the segmentation result is not ideal.
38923 为了提高直觉模糊聚类算法的分割性能，提出一种融合对称特性的混合标签传递半监督直觉模糊聚类算法。 In order to boost the segmentation performance of the intuitionistic fuzzy clustering algorithm, a hybrid label propagation semi-supervised intuitionistic fuzzy clustering incorporating symmetric property for image segmentation algorithm was proposed.
38924 该算法首先对图像进行对称轴检测获取图像的对称特性，接着利用图像的对称特性进行对称像素的标签传递并改进像素对聚类中心的直觉模糊距离测度， First, the symmetry axis of the image was detected to obtain the symmetric property. Second, it used the symmetry characteristics of the image to perform symmetric label propagation of pixels and to improve the intuitionistic fuzzy distance measure between the pixels and cluster centers.
38925 然后设计一种混合标签传递半监督策略，对所有像素进行隶属度的估计并将其作为监督隶属度进行引入， Third, a hybrid label propagation semi-supervised strategy was designed to estimate the membership of all pixels. It introduced the estimated membership as the supervised membership into the intuitionistic fuzzy clustering algorithm.