With the rapid development of powerful image, editing software makes the forgery of the digital image easy. Researchers proposed methods to cope with image authentication in recent years. We proposed a passive image a...With the rapid development of powerful image, editing software makes the forgery of the digital image easy. Researchers proposed methods to cope with image authentication in recent years. We proposed a passive image authentication technique to determine the copy move forgery that copied a part of an image and pasted it on the other region in the same image. First, the method divides the image into overlapping blocks. It uses LPQ （local phase quantization） to label each block. The column average value of labeled blocks constitutes the feature vector for the block. Similarity among the feature vectors gives a clue about the forgery. Local phase quantization has not been used to detect copy move forgery in the literature before. Experimental results show that, the method has higher accuracy ratios and lower false negative values under blurring operation at high levels compared to other methods. Our method can also detect multiple copy move forgery.展开更多
文摘针对货车心盘螺栓故障图像,提出一种基于韦伯局部描述符(Weber Local Descriptor, WLD)特征和局部相位量化(Local Phase Quantization, LPQ)特征融合的故障图像检测算法。该算法分为螺栓定位与识别2个步骤,采用间接定位法逐步定位感兴趣区域(Region of Interest, ROI),通过最大类间方差法(Otsu)和改进的Canny算法与图像投影结合定位螺栓部位;利用WLD特征和LPQ特征分别提取螺栓纹理,对其归一化,使用PCA降维特征向量,串行联合为WLD-LPQ特征,通过支持向量机SVM自动检测识别。研究结果表明:本文算法能快速准确定位,空间域与频率域结合的WLD-LPQ特征提高了检测识别率,平均检测识别率达到98%以上。
文摘With the rapid development of powerful image, editing software makes the forgery of the digital image easy. Researchers proposed methods to cope with image authentication in recent years. We proposed a passive image authentication technique to determine the copy move forgery that copied a part of an image and pasted it on the other region in the same image. First, the method divides the image into overlapping blocks. It uses LPQ （local phase quantization） to label each block. The column average value of labeled blocks constitutes the feature vector for the block. Similarity among the feature vectors gives a clue about the forgery. Local phase quantization has not been used to detect copy move forgery in the literature before. Experimental results show that, the method has higher accuracy ratios and lower false negative values under blurring operation at high levels compared to other methods. Our method can also detect multiple copy move forgery.
