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stimulated

于 2013-04-07 发布 文件大小:60KB
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代码说明:

  利用SBS产生任意形状滤波器,例如矩形滤波器,高斯型滤波,超高斯滤波器等(SBS to generate arbitrary shape filter, such as a rectangular filter, Gaussian filter, super-Gaussian filter)

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stimulated



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  • 1
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    2020-11-13 12:19:43下载
    积分:1
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    2020-11-30 15:39:27下载
    积分:1
  • zimushibie0505
    在此文档中,可以实现图形字母的识别,采用特征匹配的 方法,求取特征向量,一共13个(ocr)
    2009-05-14 11:05:16下载
    积分:1
  • hdjm
    抽取子图像: 通过一个随机混沌标签序列从原图像中抽取 对子图像加密:小波变换 ,在高频部分加密 重构原图,把加密好的子图像重新放回到原图像中 (from sub-images : a random chaotic sequence label from the original image from a tradition image encryption : wavelet transform, the high-frequency part of remodeling the maximum encryption, encrypted good son to re-up images back to the original image)
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    积分:1
  • ssim
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    2020-07-08 16:18:56下载
    积分:1
  • sar-ksvd
    基于kscd算法的合成孔径雷达图像压缩。(Based on kscd algorithm synthetic aperture radar (SAR) image compression.)
    2012-11-28 20:37:42下载
    积分:1
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    基于图像互信息计算的图像配准方法,互信息为配准带来更高精度(Image registration method based on image mutual information calculation, mutual information brings higher precision to registration)
    2018-11-10 21:17:47下载
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  • Image-Segmentation-Method
    本文主要研究基于水平集方法的活动轮廓模型图像分割,在回顾活动轮廓模 型发展的基础上,介绍了曲线演化理论及其水平集方法,证明了水平集方法可以 有稳定的数值实现方式且其处理拓扑变化的自然性,进一步引出了变分水平集方 法。 本文介绍了两种不同的几何活动轮廓模型:基于梯度信息的李纯明模型以及 基于区域信息的 Chan-Vese 模型(C-V 模型)。在分析上述两模型的优缺点上,提 出了一种改进的 C-V 模型,改进模型引入了距离约束项,同时对基于区域的外部 能量项进行了改进,使得水平集函数重新初始化寓于模型的演化之中,分割结果 对参数的依赖性减小。 (This paper mainly study image segmentation of active contour model based on level set. After reviewing the development of the active contour model, curve evolution and level set method are presented, then we proved that the level set method has a stable numerical realization and can describe the topology change of the contour naturally, in addition we introduce level set of variational method. We introduce two different GAC models in this paper: Li Chunming model which is based on gradient information and Chan-Vese model (C-V model) which is based on region information. Based on the drawbacks and advantages of these two models, we improve the C-V model by adding penalizing energy term of signed distance function, at the same time, mending the external energy term which based on region information, then the re-initialization of the level set can accomplish in the model evolution, and the degree of the segmentation result depend on the parameters decline. )
    2011-12-20 20:27:30下载
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    2016-05-19 13:56:43下载
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  • 拼接
    说明:  这个例子展示了如何使用proj_match_points_transformtion_ransac在拼接应用程序中观察两个图像。(This example shows how to use proj_match_points_distortion_ransac tomatch two images in a mosaicking application.)
    2020-06-22 12:00:01下载
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