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为Matrox Meteor
为Matrox Meteor-Ⅱ/
图像采集卡MIL捕获图像程序-For the Matrox Meteor-⒑/frame grabbers MIL image capture process
- 2022-02-05 07:28:41下载
- 积分:1
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该程序实现了图像的配准功能,对两幅同一区域图像进行配准,进而实现图像拼接功能...
该程序实现了图像的配准功能,对两幅同一区域图像进行配准,进而实现图像拼接功能 -The program achieved a functional image registration of two images in the same region registration, and image stitching function
- 2023-06-22 03:20:03下载
- 积分:1
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使用directshow代替opencv的vfw的源代码
使用directshow代替opencv的vfw的源代码-use directshow opencv replace the vfw source code
- 2022-07-10 08:24:06下载
- 积分:1
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图像融合的方法,包括小波,金子塔等,以及实验图片
图像融合的方法,包括小波,金子塔等,以及实验图片-Image fusion methods, including wavelet, pyramid, as well as the experimental picture
- 2023-02-06 11:55:04下载
- 积分:1
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I2C代码为Verilog
i2c code for the verilog -i2c code for the Verilog
- 2022-07-26 11:14:26下载
- 积分:1
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本程序是实现灰度处理的方法,通过这种方法计算灰度分割门限,进行图像灰度处理...
本程序是实现灰度处理的方法,通过这种方法计算灰度分割门限,进行图像灰度处理-This program is to achieve gray-scale processing methods, by which method gray-scale segmentation threshold for image gray-scale processing
- 2022-01-25 23:59:05下载
- 积分:1
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Weak and semi
脆弱及半脆弱水印论文10篇,包括用于图像认证的水印,文本水印,音频水印的论文-Weak and semi-fragile watermarking papers 10, including those for image authentication watermark, text watermarking, audio watermarking papers
- 2022-03-22 16:59:50下载
- 积分:1
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MATLAB工具箱的使用最大似然EM隐藏前提马尔可夫造型…
Matlab toolbox for Hidden Markov Modelling using Max. likelihood EM. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox. LAST UPDATED: 25 Feb. 2002.
- 2022-02-02 12:24:26下载
- 积分:1
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一个关于主成分分析的程序,对初学者有帮助。
一个关于主成分分析的程序,对初学者有帮助。-A principal component analysis on the procedure, help for beginners.
- 2022-01-26 00:35:09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