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利用模糊C均值聚类法实现彩色图像分割,Visual c++ 6.0 实现。
利用模糊C均值聚类法实现彩色图像分割,Visual c++ 6.0 实现。-color image segmentation using C-means clustering, implementation by Visual c++ 6.0
- 2022-12-26 23:50:03下载
- 积分:1
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robert边沿检测的VC源代码
robert边沿检测的VC源代码-VC source code
- 2022-01-22 01:09:42下载
- 积分:1
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3d 3D three
3d 3D三维立体变形C语言开发的源程序。 非常有趣,其功能好-3d 3D three-dimensional deformation of the C language source code. Very interesting, and its functions well
- 2023-09-04 23:00:03下载
- 积分:1
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包括图像的灰度变换,laplacian锐化,中值滤波,加权中值滤波,自适应滤波,添加噪声以及图像的平滑和反色处理,图像处理效果良好...
包括图像的灰度变换,laplacian锐化,中值滤波,加权中值滤波,自适应滤波,添加噪声以及图像的平滑和反色处理,图像处理效果良好-Including images of gray-scale transformation, laplacian sharpening, median filtering, the weighted median filter, adaptive filter, add noise and image smoothing and anti-color processing, image processing results
- 2022-05-31 14:14:43下载
- 积分:1
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彩色图像做差运算,并分RGB 以及亮度进行直方图统计,计算得到二阶导数为零的点,完全自主创作,效果理想...
彩色图像做差运算,并分RGB 以及亮度进行直方图统计,计算得到二阶导数为零的点,完全自主创作,效果理想-color image so poor operation and the hours for RGB and luminance histogram statistics, calculated second-order derivative of the zero point, entirely independent creation, the result is satisfactory
- 2022-03-20 20:45:56下载
- 积分:1
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利用最大类间方差法(OTSU)求出对图像进行二值化处理的最佳阈值,从而进行图像二值化处理。...
利用最大类间方差法(OTSU)求出对图像进行二值化处理的最佳阈值,从而进行图像二值化处理。
-Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.
- 2022-09-09 17:20:02下载
- 积分:1
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Gaussian smoothing procedures for handling 2D graphics and video, VC FOSS
高斯平滑程序,用于2D图形图像处理,VC++源码-Gaussian smoothing procedures for handling 2D graphics and video, VC FOSS
- 2023-02-13 20:25:03下载
- 积分:1
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关于图像模式识别的代码和算法的重要研究,很不错
关于图像模式识别的代码和算法的重要研究,很不错-Image data source is very improtant
- 2022-04-07 22:35:07下载
- 积分:1
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B样条曲线生成模拟
B样条曲线生成模拟-B-spline curves generated simulation
- 2022-02-09 16:33:55下载
- 积分:1
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仿射变换法求深度信息,目前最好的方法
function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,...
仿射变换法求深度信息,目前最好的方法
function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,im)
gx,gy 为x,y方向偏导数 Z 为恢复出来的是深度信息。
函数适应于从 图像法相信息恢复高度信息-Affine transformation method the depth of information, is currently the best way to function [Z, D11, D12, D22] = diffusion_kernel_function (gx, gy, im) gx, gy for x, y direction of the partial derivative of Z is out to restore the depth of information. Function adapted from the image information to resume a high degree of information law
- 2022-05-26 04:32:32下载
- 积分:1