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Contourlet_watermark
DL : 0
基于Contourlet变换的水印算法.与小波变换不同的是Contourlet变换采用类似于线段(contoursegment的基得到一种多分辨、局部化、方向性的图像表示。水印信号通过基于内容的乘性方案加载到Contourlet 变换系数。-on Contourlet Transform algorithms. And wavelet transform is different Contour let transformation similar to that segment (the base contoursegment be a multiresolution, Local, Image directional said. Watermark signal through content-based program by loading Contourlet Transform- few.
Date
: 2025-12-23
Size
: 692kb
User
:
阳光
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Digitalimageprocessingtechnology
DL : 0
计算机数字图像处理资料,阐述了数字图像处理的各方面知识以及最新进展-It is very important to achieve reliable vehicle tracking in ITS application such as accident detec- tion. But the most dicult problem associated with vehicle tracking is the occlusion eect among vehicles. In order to resolve this problem we applied the dedi- cated algorithm which we dened as Spatio-Temporal Markov Random Field model to trac images at an intersection. Spatio-Temporal MRF considers texture correlations between consecutive images as well as the correlation among neighbors within a image. As a re- sult, we were able to track vehicles at the intersection robustly against occlusions. Vehicles appear in vari- ous kinds of shapes and they move in random man- ners at the intersection. Although occlusions occur in such complicated manners, the algorithm were able to segment and track such occluded vehicles at a high success rate of 93− 96 . The algorithm requires only gray scale images and does not assume any physical models of vehicles.
Date
: 2025-12-23
Size
: 10.36mb
User
:
christine
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segment
DL : 0
图像分割是一种重要的和关键的图像分析技术,其目的是把图像分成各具特性的区域并提取出感兴趣的部分,图像分割的结果是图像特征提取和识别等图像理解的基础。对它的研究一直是图像技术研究中的热点和焦点,提出了数以千计的不同算法,虽然这些算法大都在不同程度上取得了一定的成功,但是图像分割问题还远远没有解决,这方面的研究仍然面临很多挑战。-Image segmentation is an important and critical image analysis, the purpose is to image into regions with different characteristics and extract the interesting part, the result of image segmentation is the image feature extraction and recognition based on image understanding. Study it has been a hot spot imaging technology research and focus, made thousands of different algorithms, although most of these methods to varying degrees, achieved some success, but the image segmentation problem is far from resolved, it of research still faces many challenges.
Date
: 2025-12-23
Size
: 3.86mb
User
:
liujinkun
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SHUZIPIPEI
DL : 0
提出了基于Contourlet变换的数字图像水印算法。与小波变换不同的是,Contourlet变换采用类似于线段 (contour segment)的基得到一种多分辨、局部化、方向性的图像表示。水印信号通过基于内容的乘性方案加载 到 Contourlet 变换系数。在采用零均值广义高斯分布拟合 Contourlet 变换系数的基础上,提出采用极大似然估计 实现水印的盲检测。依据 Neyman-Pearson 准则,在给定虚警率的情况下对判决准则进行了优化。实验结果表明 在保证水印隐蔽性的前提下,水印对常见的信号处理手段以及几何变换具有很好的稳健性-Contourlet transform is proposed based on digital image watermarking algorithm. The difference is that with the wavelet transform, Contourlet transformation similar to that of line (contour segment) of the base by a multi-resolution, localization, directional image representation. Watermark-based content of the program is loaded into Contourlet by transform coefficients. The introduction of zero-mean generalized Gaussian distribution fitting Contourlet transform coefficient based on maximum likelihood estimation proposed by the blind watermark detection. Based on Neyman-Pearson criterion, the false alarm rate in a given case to the sentencing guidelines were optimized. The results show that the watermark hidden in the guarantee under the premise of the watermark signal processing means of the common geometric transformations and is robust
Date
: 2025-12-23
Size
: 131kb
User
:
betty
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ENVI_NITF
DL : 0
This tutorial introduces common tasks when working with National Imagery Transmission Format (NITF) files. The first exercise shows you how to open a NITF 2.1 multiple image segment file how to view metadata, Tagged Record Extensions (TREs), and Data Extension Segments (DESes)-This tutorial introduces common tasks when working with National Imagery Transmission Format (NITF) files. The first exercise shows you how to open a NITF 2.1 multiple image segment file how to view metadata, Tagged Record Extensions (TREs), and Data Extension Segments (DESes)
Date
: 2025-12-23
Size
: 238kb
User
:
mr moghadam
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