搜索资源列表
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图像插值算法（最近邻域和双线性），很好用。-image interpolation algorithm (recent neighborhood and bilinear), is useful.
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选择打开文件，可以打开相应的图像。当前只可处理8位灰度图像。
homework1
中值滤波中，边界没有处理。
均值滤波中，边界也处理了，边界的原值没有保存下来。边界模糊。
homework2
对同样的阈值soble算子检测边缘比梯度算子清楚。
homework3
幅度谱表现出一些可辨认的结构，相位谱看不出来。
忽略相位信息，反变换得到的图看不出与原图的影子。
忽略幅度信息，反变换得到的图与原图好像有一些相似。
homework4
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Bilinear interpolation by LabVIEW
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利用偏移量插值实现图像的透视变换（运用了双线性变换原理）-Offset interpolation using the image perspective transformation (using the bilinear transformation principle)
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delphi下用二次线性插值算法缩放图片的方法，与delphi自己的绽放功能对比，明显要好很多。-delphi under scaling with bilinear interpolation algorithm picture approach, and their blooming features delphi contrast, significantly better than many.
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This program is an image interpolation (bilinear interpolation).
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用Matlab实现的对图像双线性插值进行缩放，里面包含两次缩放-Bilinear interpolation of the image is scaled using Matlab, which contains two scaling
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将RAW文件格式的图片采用双线性插值并将其转换为BMP格式的文件，采用C/C++编写。-RAW file format images using bilinear interpolation and converted to BMP format file, using C/C++ to write.
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用matlab编写逆投影变换程序，三个m文件分别代表最近邻插值法，双线性插值法，立方卷积插值法，通俗易懂，含有测试图片，打开就能用-Inverse projection transformation program, matlab prepared three m documents represent the nearest neighbor interpolation, the bilinear interpolation and cubic convolution interpolatio
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图像插值，最邻近，双线性，双三次算法函数-Image interpolation, nearest neighbor, bilinear, bicubic algorithm function
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数字图像几何变换，程序比较简单，以后实现双线性插值的-Digital image geometric transformation, the procedure is relatively simple, after bilinear interpolation
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图像缩放中最常用的双线性插值算法，效果很好-The most commonly used image scaling bilinear interpolation algorithm works well
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基于双线性插值方法的图像缩小、放大程序，原创-Bilinear interpolation method based on image reduction, enlargement program, originality
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分别用最邻近插值算法和双线性插值算法在matlab上实现图像的缩放.word文档。附有算法原理以及实现效果。-Image scaling using the nearest neighbor interpolation algorithm and bilinear interpolation algorithms were implemented on matlab
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Rotating Images by Nearest-neighbor and bilinear interpolation, Histogram Equalization, and Laplacian Enhance
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双线性插值算法实现 MFC C++语言 邻近算法
三次立方-bilinear interpolation
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图像的缩放，采用两种方法，可以直接运行。向后映射，1.最近领域法，2.双线性插值法-Image scaling, two methods can be run directly. Backward mapping, a recent field of law, (2) bilinear interpolation
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双线性插值，对图像进行放大缩小，upsampling，down sampling-Bilinear interpolation on the image to zoom, upsampling, down sampling
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通过对图像RGB三通道进行双线性插值以放缩图像！-RGB three-channel image by bilinear interpolation image to zoom!
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This is the inverse of ImToPolar. imP is the polar image with M rows and
N columns of data (double data between 0 and 1). M is the number of
samples along the radius from rMin to rMax (which are between 0 and 1 and
rMax > rMin). Mr and Nr are t
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