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数字图象处理的各种几何变换的C语言原代码
数字图象处理的各种几何变换的C语言原代码-Digital image processing of a variety of geometric transformations of C language source code
- 2023-08-12 09:15:03下载
- 积分：1
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计算机图形学中采用c++实现区域四邻接点填充算法
计算机图形学中采用c++实现区域四邻接点填充算法-The use of computer graphics in c++ implementation of regional four neighborhood pixels filling algorithm
- 2023-02-04 10:35:04下载
- 积分：1
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nghgbhv gbhhgnb hghghg vh-nghgbhv gbhhgnb hghghg vh
- 2023-06-19 20:05:04下载
- 积分：1
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高斯消元法计算线性方程，是用c++编写的，可以解决数学相关的问题...
高斯消元法计算线性方程，是用c++编写的，可以解决数学相关的问题-Guass liner
- 2023-08-03 16:55:03下载
- 积分：1
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一个C#写的图片浏览器.演示了C#的图形处理功能!
一个C#写的图片浏览器.演示了C#的图形处理功能!-C# to write a picture browser. C# demonstration of the graphic processing function!
- 2023-04-24 01:40:04下载
- 积分：1
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不适用
C++ type cast guide line.
It might be useful when type cast is necessary.-N/A
- 2023-03-29 14:40:03下载
- 积分：1
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此资源将所有OpenCV中的代码制作成chm格式，并且提供代码之间以及数据结构之间的链接功能，方便大家阅读。读代码是好习惯，读成熟可信的代码更是好的选择。...
此资源将所有OpenCV中的代码制作成chm格式，并且提供代码之间以及数据结构之间的链接功能，方便大家阅读。读代码是好习惯，读成熟可信的代码更是好的选择。-This resource in all the OpenCV code into chm format, as well as between the code and provides the link between data structures function to facilitate everyone to read. Are well used to read the code, read code more sophisticated and credible selection are good.
- 2022-03-14 03:25:46下载
- 积分：1
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这是一个基于opencv的sift算法的实现
这是一个基于opencv的sift算法的实现-This is a sift of opencv algorithm based on the realization of
- 2022-01-25 14:12:15下载
- 积分：1
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中值滤波：采用5*5窗口对噪声污染的图像进行去噪处理。
中值滤波：采用5*5窗口对噪声污染的图像进行去噪处理。-Median filter: 5* 5 window on the noise pollution to deal with the image de-noising.
- 2022-05-13 12:38:11下载
- 积分：1
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针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提
出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理...
针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提
出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检
测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试,
结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值
-Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching
algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the
expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense
disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the
international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed
algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic
- 2022-12-14 17:15:03下载
- 积分：1
