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dct

于 2010-05-31 发布文件大小:3916KB

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下载积分: 1 下载次数: 211

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好东东哦，希望大家来下载，是我们本科毕业设计论文成果，基于dct域的数字水印技术

文件列表：

涂matlab运行结果
................\tu
................\..\dct.asv,5850,2010-05-11
................\..\dct.m,5050,2010-05-13

................\..\mark1.bmp,12344,2010-05-06
................\..\mark2.bmp,12344,2010-05-08
................\..\mark3.bmp,12342,2010-05-10
................\..\nc.m,454,2010-05-09
................\..\psnr.m,549,2010-05-09
................\..\temp.jpg,30616,2010-05-24
................\..\Untitled2.asv,6047,2010-05-11
................\..\Untitled2.m,5881,2010-05-11
................\..\watermark.asv,6732,2010-05-12
................\..\watermark.m,6744,2010-05-17
................\..\whitenoise.bmp,263222,2010-05-17
................\..\withmark.bmp,263222,2010-05-24
................\..\withmark1.bmp,263222,2010-05-06
................\..\xiao
................\..\....\123.m,1934,2010-05-26
................\..\....\check.m,1740,2009-06-04
................\..\....\extraction.m,681,2009-06-04
................\..\....\gai.asv,2863,2010-05-26
................\..\....\gai.m,2858,2010-05-26

................\..\....\hao.asv,2615,2010-05-26

................\..\....\hao.m,2825,2010-05-26

................\..\....\nc.m,454,2010-05-09
................\..\....\psnr.m,427,2008-05-06

................\..\....\watermark.m,860,2009-06-04
................\..\....\watermarked.bmp,1049654,2010-05-31
................\..\....\wertmak.asv,2928,2010-05-31
................\..\....\wertmak.m,2936,2010-05-31
................\新建 Microsoft Word 文档 (2).doc,61952,2010-05-17
................\新建文件夹
................\..........\123.m,1934,2010-05-26
................\..........\check.m,1740,2009-06-04
................\..........\extraction.m,681,2009-06-04
................\..........\gai.asv,2863,2010-05-26
................\..........\gai.m,2858,2010-05-26

................\..........\hao.asv,2222,2010-05-26
................\..........\hao.m,2218,2010-05-26

................\..........\watermark.m,860,2009-06-04

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（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。（2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。（3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量；然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)

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