Description: 这是一个批量缩放(采用双线性插值)的工具程序，采用VC＋＋编写，可以直接作为模式识别图像归一化工具使用，希望能给你带了方便！-This is a mass scale (using bilinear interpolation) process tools using VC + + preparation, Pattern recognition can directly image as a tool to use, with the hope of giving you a convenient! Platform: |
Size: 60993 |
Author:Lqh |
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Description: 一个图像平滑缩放程序 支持最邻近插值│双线内插值│三次卷积法- A picture smooth 缂╂斁 procedure support most is close to in
the interpolation 鈹?double thread the interpolation 鈹?three
convolutions law Platform: |
Size: 68608 |
Author:郭卫康 |
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Description: 这是一个批量缩放(采用双线性插值)的工具程序，采用VC＋＋编写，可以直接作为模式识别图像归一化工具使用，希望能给你带了方便！-This is a mass scale (using bilinear interpolation) process tools using VC++ preparation, Pattern recognition can directly image as a tool to use, with the hope of giving you a convenient! Platform: |
Size: 60416 |
Author:Lqh |
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Description: 8位或者24位图像缩放模块，支持X、Y方向不等比例的任意倍，甚至非整倍缩放功能，支持插值功能-eight or 24 images zoom module, support X, Y directions ratio ranging from the arbitrary times, even aneuploidy zoom function, support interpolation function Platform: |
Size: 77824 |
Author:caotings |
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Description: 一种全自动稳健的图像拼接融合算 提出了一种全自动稳健的图像拼接融合算法。此算法采用Harris角检测算子进行特征点提取,使提取的
精度达到了亚像素级,然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合,并运用稳健的
RANSAC算法将伪匹配点集合划分为内点和外点,在内点域上运用LM优化算法精确地估计出了图像间的点变
换关系,最后采用颜色插值对交接处进行颜色过渡。整个算法自动完成,它对有较大误差或错误的特征点数据迭代
过滤,并用提纯后的数据来做模型估计
-A robust fully automatic image mosaic fusion operator presents a fully automatic image stitching robust fusion algorithm. This algorithm uses the Harris operator angle detection feature point extraction, so that the accuracy of extracting the sub-pixel, and then feature points to the neighborhood gray-scale cross-correlation method for matching feature points have been the initial pseudo-match collection and use of sound RANSAC algorithm pseudo-matching point set is divided into inner and outer points, including point-domain LM optimization algorithm used to estimate accurately the image transform relations between points, and finally the use of color interpolation of the color transition of the junction. The entire algorithm for auto-complete, it has a larger error or error of feature points iterative data filtering, and purification of model data to make estimates Platform: |
Size: 117760 |
Author:王钰 |
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Description: 数字图像处理中，灰度图像的放大、缩小，平移和旋转功能实现的源代码，分别采用最近邻插值法和双线性插值方式实现。-Digital image processing, the gray-scale image to enlarge, narrow, pan and rotate functions of the source code, respectively, using nearest neighbor interpolation and bilinear interpolation way. Platform: |
Size: 69632 |
Author:caonimabitoo |
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Description: 基于图像增强的灰度插值算法，这是图像配准和图像融合的基础部分-Gray-scale image enhancement based on the interpolation algorithm, which are image registration and image fusion of the basic part of Platform: |
Size: 568320 |
Author:陈明 |
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Description: 插值法实现灰度图像的缩放及旋转的程序，开发环境为Visual C++6.0，实现了多种差值方法。可用于进行算法的分析和比较-Gray-scale image interpolation implementation of the scaling and rotation procedures, development environment for Visual C++6.0, a variety of difference methods of implementation. Algorithm can be used to carry out the analysis and comparison of Platform: |
Size: 78848 |
Author:张晓彬 |
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Description: 本文借助多尺度分析为手段，
研究医学图像配准与融合过程中医学图像的增强、插值、配准、融合和分割等
关键问题的理论方法研究，扩展了尺度的含义，使其不再局限在通常的小波分
析和形态学两个方面。-In this paper, using multi-scale analysis as a means to study the medical image registration and fusion process of medical image enhancement, interpolation, registration, integration and division of such key issues as the theoretical study of the meaning of the expansion of the scale so that it no longer confined to wavelet analysis in the usual two aspects and morphology. Platform: |
Size: 2545664 |
Author:媛媛 |
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Description: 为了解决光谱恢复对图像匹配高精度的问题, 提出了一种高精度图像匹配算法———利用光流确定图像的运动场对图像进行匹配。该算法克服了传统的基于灰度匹配方法受图像插值精度影响的缺陷以及运算速度和精度的局限性。与基于MAD 块匹配算法和归一化相关系数块匹配算法进行比较, 该算法实现了图像序列高精度匹配, 而且硬件实现简单, 计算复杂度较低。-To address the spectrum of the resumption of high-precision image matching problem, a high-precision image matching--- the use of optical flow algorithm to determine the image of the stadium to match the image. The algorithm to overcome the traditional matching method based on gray-scale image interpolation accuracy by the effects of defects, as well as the speed and accuracy of computing limitations. MAD-based block matching algorithm and the normalized correlation coefficient to compare block-matching algorithm, the algorithm achieved a high-precision image sequence matching, and simple hardware implementation, lower computational complexity. Platform: |
Size: 222208 |
Author:酷鱼 |
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Description: 基于傅立叶－梅林变换的matlab编写的配准系统，运行fm_gui.m后即出现演示界面，左侧的两个图形框选择待配准的两幅图像，图像可以进行缩放旋转变换。右侧的列表框"Window"下可以选择滤波窗，"Rotation"、"Scale"、"Log-polar"可分别选择旋转、缩放、以及对数极坐标变换所用的插值方法，按键"REGISTER"下的滑动
键可选备选的峰值点总数，点击"REGISTER"按键，
对应的下方图形框即显示配准后的两幅图像，最下方的"Translation"、"Rotation"和"Scale"文本框分别显
示待配准图像间的偏移、旋转、缩放参数。-Based on the Fourier- Mellin transform matlab prepared with System, after having run the demo fm_gui.m interface, the left side of the box to choose the two graphics to be matching the two images, the image can zoom in and out rotation. The list on the right box " Window" under the option of filtering window, " Rotation" , " Scale" , " Log-polar" can choose to rotate, zoom, as well as the number of polar coordinate transform of the interpolation method used, button " REGISTER" sliding under the optional options key points of the total number of peaks, click on " REGISTER" button below the corresponding graphic box that is displayed after the registration of two images, the bottom of the " Translation" , " Rotation" and " Scale" text box Registration to be, respectively, show the offset between images, rotation, scaling parameters. Platform: |
Size: 532480 |
Author:刘子木 |
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Description: Images passed to your application are not always of the same size as your
templates. To compare them you might need to up scale or down scale them to
the template size. It is preferred that when comparing you check the size of the
template to be compared then adjust the size of the incoming image to be
compared. For simplicity you can do it for the following sample only.
Hints:
• Upsampling by interpolation/replacement
• Downsampling by interpolation/replacement
• Refer to sample code given in first tutorial for ways to create
images of similar width and height.-Images passed to your application are not always of the same size as your
templates. To compare them you might need to up scale or down scale them to
the template size. It is preferred that when comparing you check the size of the
template to be compared then adjust the size of the incoming image to be
compared. For simplicity you can do it for the following sample only.
Hints:
• Upsampling by interpolation/replacement
• Downsampling by interpolation/replacement
• Refer to sample code given in first tutorial for ways to create
images of similar width and height. Platform: |
Size: 3468288 |
Author:marwa |
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Description: 灰度图像插值 运用改进高斯作为插值核函数-Gray-scale image interpolation using the modified Gaussian kernel function as the interpolation Platform: |
Size: 2373632 |
Author:eyes |
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Description: the noise deteriorates the
interpolation performance in digital images, it is effective to
employ denoising prior to the interpolation. In this paper, we
propose a novel interpolation framework in which denoising
and image sharpening methods are embedded. In the
proposed framework, the image is first decomposed using the
bilateral filter into the detail and base layers which represent
the small and large scale features, respectively. The detail
layer is adaptively smoothed to suppress the noise before
interpolation and an edge-preserving interpolation method is
applied to both layers. Finally, the high resolution image is
obtained by combining the base and detail layers.
Experimental results show that the proposed algorithm
outperforms the conventional methods Platform: |
Size: 1034240 |
Author:prabhakaran |
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Description: This Program presents discrete wavelet transform (DWT) and its inverse (IDWT) with Haar wavelets as tools to compute the variable size interpolated versions of an image at optimum computational load. As a human observer moves closer to or farther a scene, the retinal image of the scene zooms in or out, respectively. This zooming in or out can be modeled using variable scale interpolation. -This Program presents discrete wavelet transform (DWT) and its inverse (IDWT) with Haar wavelets as tools to compute the variable size interpolated versions of an image at optimum computational load. As a human observer moves closer to or farther a scene, the retinal image of the scene zooms in or out, respectively. This zooming in or out can be modeled using variable scale interpolation. Platform: |
Size: 395264 |
Author:mohammed |
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Search - scale interpolation