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active_contour_without_edge

于 2007-03-03 发布 文件大小:27KB
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代码说明:

  Using Chan-Vese model to segment 2D image (Using Chan-Vese model to 2D image segment)

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  • OTSU3Dmy
    说明:  灰度图像分割,三维大津法或三维最大类间方差法(3D Maximum Between Cluster Variance)
    2010-04-01 09:11:41下载
    积分:1
  • gear3d
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    2019-03-21 16:16:24下载
    积分:1
  • sombrero
    著名的墨西哥草帽三维编程,matlab语言。(Well-known Mexican hat three-dimensional programming, matlab language.)
    2011-08-23 10:13:47下载
    积分:1
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    2009-09-08 18:12:54下载
    积分:1
  • code
    给定一个图像,其中包含足够的信息来计算地平面消失线和垂直消失点,以及一个已知高度的物体。然后,只要他们的头部和脚都可见,就可以在场景中的任何地方测量站在地平面上的人的高度。(Given an image which contains sufficient information to compute the ground plane vanishing line and the vertical vanishing point, and also one object of known height for which the top and base are imaged. Then the height of a person standing on the ground plane can be measured anywhere in the scene provided that their head and feet are both visible.)
    2021-02-05 22:29:57下载
    积分:1
  • 80553369
    jpeg matlab toolbox jpeg 编解码matlab实现,做试验用,很好的 不错(Jpeg matlab toolbox jpeg decoding matlab, making a test to use, good good)
    2020-11-10 20:49:46下载
    积分:1
  • Attitude-Indicator
    This Program simulates "Attitude Indicator" of any aircraft. communication with serial port is not important for compiling and executing source code with Turbo C++. This program is good ideas for using mouse and 2D graphic, and has other learning subjects.
    2012-11-23 07:02:19下载
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    脆弱水印提取算法,与embed.rar中的嵌入算法相对应,可以提供较好的篡改定位(Fragile watermark extraction algorithm, and embed.rar correspond to the embedding algorithm can provide better tamper positioning)
    2009-09-28 15:03:52下载
    积分:1
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    用python实现简易计算器,包括+,-,*,/及一些扩展运算,是联系python的GUI编程的很好的练手题目。(simple calculator write by Python.)
    2017-11-23 09:37:44下载
    积分:1
  • 基于最大类间方差阈值与遗传算法的道路分割
    最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.)
    2018-04-15 11:26:03下载
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