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Project_report

于 2014-01-07 发布 文件大小:2759KB
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  Image Inpainting for object removal project report

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  • jiyulunkuozuidahuxinxi
    说明:  用matlab编写的基于轮廓最大互信息图像配准算法(Prepared using matlab contour based on the maximum mutual information image registration algorithm)
    2008-10-22 22:18:19下载
    积分:1
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    快速角点检测,对学习角点检测同学应该有帮助。(Fast corner detection, detect students learning corners should help.)
    2012-06-13 11:31:51下载
    积分:1
  • jiangcaiyang
    对图像进行降采样处理,将原图像变为五分之一大小。(The image down-sampling processing, the size of the original image into a fifth.)
    2010-01-10 22:42:51下载
    积分:1
  • resampling
    说明:  粒子滤波改进的重采样程序,Performs the resampling stage of the SIR (Improved particle filter resampling procedure, Performs the resampling stage of the SIR)
    2008-10-19 22:03:49下载
    积分:1
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    采用平均图像融合算法,设计并实现基于小波变换的图像融合算法(选择同一场景的三对可见图像、红外图像或SAR图像进行试验)(Average image fusion algorithm is adopted to design and implement image fusion algorithm based on wavelet transform (three pairs of visible images, infrared images or SAR images of the same scene are selected for testing))
    2018-08-13 16:00:11下载
    积分:1
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    一种基于小波分析的彩色图像融合方法,需要同一场景的红外与夜视各一张,同时选取任意场景合适的彩色照片作为参考图像(A color image fusion method based on wavelet analysis, infrared and night vision needs each one of the same scene, the scene at the same time any suitable color photo as a reference image)
    2015-10-14 22:22:50下载
    积分:1
  • imagesegmentation
    说明:  模糊C-均值聚类算法,使用VC++与matlab 编程两种方法实现算法(Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways)
    2009-07-22 08:32:18下载
    积分:1
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    利用NSCT对脑CT图像增强的例子 ,代码可编辑,本例为适用于灰度图像(Using NSCT for brain CT image enhancement example, the code can be edited. This example applies to grayscale images.)
    2018-10-24 16:26:38下载
    积分:1
  • FFT
    在matlab环境中用快速傅里叶变换实现多目标追踪,计算的非常快(Matlab environment using the fast Fourier transform to achieve multi-target tracking, very fast calculation)
    2012-12-01 16:01:21下载
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  • VCPP-image-processing-chapter04
    VisualC++数字图像处理技术详解第2版光盘-第四章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter Four)
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