1) image projection discriminant analysis
图像投影鉴别分析
1.
A novel image projection discriminant analysis based on scatter difference criterion was developed for image feature extraction.
提出了一种新的二维散度差图像投影鉴别分析方法。
2) supervised discriminant projection analysis
监督鉴别投影分析
1.
This paper develops a new method called kernel supervised discriminant projection analysis.
提出一种核监督鉴别投影分析方法。
3) image authentication
图像鉴别
1.
This paper proposes a fragile watermarking method for image authentication,in the method,the original image is firstly divided into 8×8 blocks,then choose the region to be protected.
该方法首先对图像进行8×8分块,计算每一块的DCT值,然后选择所要保护的区域,确定完全属于该区域的分块,并提取这些分块的特定位置的低频分量,采用Hash函数加密生成相应的具有固定长度的数字摘要,然后选取该数字摘要的若干位作为脆弱水印,并把其隐藏到该区域其余的DCT分块中去,以实现水印检测时不需要任何额外信息,试验表明这是一种行之有效的图像鉴别方法。
2.
Therefore content-based multimedia data authentication technique has become a research focus, within which image authentication is important and crucial.
因此基于内容的多媒体数据鉴别技术成为了一个热点研究领域,数字图像鉴别是其中一项非常重要和关键的技术。
5) projected images
投影图像
1.
The main contents covered by the thesis are the design and installation of the device for capturing light projected images, the extraction of the tangential projected profile of pilled fabric surface and the development of 3-D image of pilled fabric from the integration of sequential tangential projected profile, the algorithm and results of the image preprocessing .
本文对基于切面光照投影图像的织物起球等级的计算机视觉评定进行了系统地研究。
6) discriminant analysis
鉴别分析
1.
There are many methods of termination decision,of which the discriminant analysis is much easier because of its using available existing project information as much as possible.
中止决策的方法很多,采用鉴别分析法进行R&D项目中止决策,能够充分利用已有项目有效信息进行判别,方法更为简便,在日常的R&D项目管理实践中,更易于操作及普遍使用,并得到较为满意的结果。
2.
The paper concerns the image discriminant analysis problem where image matrices are taken as samples.
考虑样本为图像矩阵的图像鉴别分析问题,将Foley-Sammon鉴别分析问题转化为一类带约束条件的两目标优化问题,给出了有效投影向量的概念。
3.
A new discriminant analysis method based on LWT(Lifting Wavelet Transform) and LVQ(Learning Vector Quantization) Network was proposed in this paper.
提出了一种基于提升小波变换(LWT)和学习矢量量化网络(LVQ)相结合的鉴别分析方法。
补充资料：滤波反投影或卷积反投影
滤波反投影或卷积反投影
影像学术语。当代影像学设备进行影像重建的数学方法。在直接用扫描后所获得的投影轨迹剖面图反投影重建出的CT图像中，无法避免角度卷入条纹伪影(angular aliasing streaks)造成的模糊和失真。这种现象与被扫描层面的空间频率中高频信息的损失有关。使用一种精密的数学方法去除这种模糊。称为“展现”(unfolding)或去卷积(deconvolution)，即在反投影前使用一种数学的“滤器”或卷积函数对原始数据进行修正，然后再进行反投影。两步数学处理过程合称为滤波(修正后)反投影或卷积(后)反投影。这种方法的优点是处理过程简单，速度快，所得图像逼真、清晰。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条