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介绍一种影像配准的方法,该方法不需要首先匹配得到转换参数后配准,而是一种全局优化的方法-An image registration method that does not need to be the first match after the registration transformation parameters, but a global optimization method
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本课题研究的主要内容是在空间域直接处理图像的基础上,几种典型的变
换域快速算法分析与研究及这些快速算法的程序设计实现。还研究了图像增强
中的变换域处理方法,主要针对几种典型变换域滤波器及其程序实现;最后对
小波变换的算法分析及在图像压缩中的应用进行了理论研究。-This task includes a series of speedy arithmetic analysis and their programme
implement in frequency domain aft
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图像处理(各种基本图像算法的实现)包括各种几何变换,图像的分割,图像的边缘检测等等。-Image processing (the basic image of the realization of algorithm), including a variety of geometric transformation, image segmentation, image edge detection and so on.
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Cryptanalysis of an image encryption scheme based on a new total shuffling algorithm-Chaotic systems have been broadly exploited through the last two decades to build
encryption methods. Recently, two new image encryption schemes have been proposed
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主要介绍了SVG的基本要素,基本框架元素,基本形状元素,路径,坐标转换以及剪裁,遮罩和图象合成-Mainly introduces the basic elements of SVG, the basic framework of the elements, the basic shape elements, path, coordinate transformation, as well as crop, mask and image synthesis
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图像处理中的一个重要的处理图像灰度的变换-Image processing is an important transformation of gray-scale image processing
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:研究了一种多目标识别算法,该算法用SUSAN角点形成SIFT特征点,采用阶梯图像金字塔结构实现尺度不变,为所有匹配点建立统一的超定线性方程组并对该方程组系数矩阵进行简
化使其维数降低一半,得到增广矩阵.对增广矩阵进行列变换,依据坐标转换的特性可从中提取多目标的稳定正常点,实现了快速分离多目标的匹配点.
-: Study of a multi-target recognition algorithm using SUSAN corner formed SIFT feature point
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用Hausdorff距离对两角点集进行配准,得到点集间的仿射变换,从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征,与直接选用边缘来配准的方法相比较,大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. T
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用Hausdorff距离对两角点集进行配准,得到点集间的仿射变换,从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征,与直接选用边缘来配准的方法相比较,大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. T
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用Hausdorff距离对两角点集进行配准,得到点集间的仿射变换,从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征,与直接选用边缘来配准的方法相比较,大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. T
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用Hausdorff距离对两角点集进行配准,得到点集间的仿射变换,从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征,与直接选用边缘来配准的方法相比较,大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. T
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用Hausdorff距离对两角点集进行配准,得到点集间的仿射变换,从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征,与直接选用边缘来配准的方法相比较,大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. T
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准是指同一区域内以不同成像手段所获得的不同图像图形的地理坐标的匹配。包括几何纠正、投影变换与统一比例尺三方面的处理。在多时相、多信息的复合综合分析时常需...
-Standard is the same region acquired by different imaging methods of different geographic coordinates of the image graph matching. Including geometric correction, proj
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双线性内插法用于图像配准,主要完成图像的伸缩,旋转变换。-Bilinear interpolation for image registration, mainly to complete the image scaling, rotation transformation.
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针对传统变化检测方法存在的缺陷,将最小噪声比率变换(Minimum Noise Fraction, MNF)和多元变化检测(Multivariate Alteration Detection, MAD)方法应用于东营市城市扩展分析.从MNF和MAD变换获得的影像中提取的二值图像可知,检测结果总体精度达到90.1 ,Kappa系数为0.802,证明了本文方法在变化区域检测方面的可操作性和有效性.-Traditional change detection methods for defects, t
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matlab and affine transformation for image base vision
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医学图像配准中的快速坐标变换方法,论文讲述快速坐标变换方法在医学图像配准中的应用-Medical Image Registration in the fast coordinate transformation method, the paper describes the coordinate transformation method in fast medical image registration application
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hybrid transformation technique for image compression
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在为分割使用分水岭变换之前,通常使用梯度幅度来预处理图像。-Before using watershed transformation for segmentation,we usually use gradient magnitude to preprocessing the image.
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了一种火灾图像的颜色提取算法。根据色彩空间(R ,G,B)到(H , I ,S)的变换公式和颜色相似距离的概
念 ,先将彩色图像量化为256色 ,再根据颜色距离提取色彩。试验证明该方法计算简单 ,处理速度快 ,为进一步进行火灾图像
的识别奠定了基础。-A fire image color extraction algorithm. According to the color space (R, G, B) to (H, I, S) of the transformation formu
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