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compare_segmentations

于 2009-04-14 发布 文件大小:9KB
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代码说明:

  用于评价图像分割算法性能的代码,包中的word文档对所用方法进行了简单的说明,还列出了具体的参考文献(Image segmentation algorithm for evaluating the performance of the code, including the word document on the methods for a simple explanation, but also a list of specific references)

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  • retinex
    这是我自己写的关于 图像处理中retinex、SSR、自适应的对比度增强算法的模板,有很好的效果 希望对你们有帮助( this is for retinex module, I wish it can help for you )
    2009-03-30 09:43:16下载
    积分:1
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    2012-04-21 21:36:03下载
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  • byxh
    本程序能够综合地实现图像边缘细化,而且程序够复杂。(This procedure can be integrated to achieve the Image Edge thinning, and the procedures complex enough.)
    2008-03-16 10:57:31下载
    积分:1
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    运动模糊图像 图像复原 维纳滤波复原 逆滤波复原 VC++6.0程序 代码(Motion-blurred image restoration image restoration Wiener filtering inverse filtering to recover VC++ 6.0 code)
    2020-12-12 11:29:17下载
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  • levelset segmentation biasCorrection v1
    水平集(level set)的基本思想是将界面看成高一维空间中某一函数ψ(称为水平集函数)的零水平集,同时界面的演化也扩充到高一维的空间中。我们将水平集函数按照它所满足的发展方程进行演化或迭代,由于水平集函数不断进行演化,所以对应的零水平集也在不断变化,当水平集演化趋于平稳时,演化停止,得到界面形状。(The level set (level set) the basic idea is to interface as a higher dimensional space in a function (called a level set function) of the zero level set, and the interface evolution also extended to higher dimensional space. We evolve or iterate the level set function according to the evolution equation it satisfies. Because the level set function keeps evolving, so the corresponding zero level set is also changing. When the level set evolves to a stable state, the evolution stops, and the interface shape is obtained.)
    2018-03-16 09:47:21下载
    积分:1
  • Qt-ImageProcess
    利用Qt编写的简易图像处理程序,包括图像的边缘检测、放大缩小和几个常用的处理功能。(QT image processing procedures, including edge detection, zoom and several common processing functions.)
    2014-05-09 16:42:32下载
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    2017-09-10 10:56:54下载
    积分:1
  • SIFT-KD-tree-image-panorama-opencv
    SIFT KD树 图像拼接 全景图_多幅图 opencv (SIFT KD tree image mosaic panorama _ Multiple Figure opencv)
    2020-07-03 17:40:02下载
    积分:1
  • LBP-master
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    2019-04-08 19:36:12下载
    积分:1
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