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opencv实现的snake算法,可用于轮廓提取。
opencv实现的snake算法,可以用于轮廓提取。-opencv realized snake algorithm, can be used for contour extraction.
- 2022-03-21 10:25:41下载
- 积分:1
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常用的图像处理算法的程序,包括灰度
图像处理常用算法程序,包括灰度变换、边缘检测、形态学预算,用VC实现-Image processing algorithms commonly used procedures, including gray-scale transform, edge detection, morphology of the budget implementation by VC
- 2022-09-19 04:05:05下载
- 积分:1
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DE2板AV提取与处理,与原板配套使用,NTSC电视制式读入
DE2板AV提取与处理,与原板配套使用,NTSC电视制式读入-DE2 board AV extraction and processing, supporting the use of the original board, NTSC TV standard read
- 2022-02-10 10:05:19下载
- 积分:1
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边缘检测C程序,其中包括了各种边缘检测算子
边缘检测C程序,其中包括了各种边缘检测算子-Edge Detection of C procedures, including a variety of edge detection operator
- 2023-06-18 18:30:10下载
- 积分:1
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exp1.m为对图像进行二级分解并提取每层低频信息进行压缩的源程序...
exp1.m为对图像进行二级分解并提取每层低频信息进行压缩的源程序-exp1.m for the secondary decomposition of the image and extract low-frequency information of each compressed source
- 2022-03-26 13:22:37下载
- 积分:1
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应用OpenCV的辅助文件,主要介绍Scilab…
关于opencv 应用的辅助文档,其中主要介绍了scilab toolbox on opencv的应用-Opencv application on the auxiliary document, which mainly introduce the scilab toolbox on opencv Application
- 2022-03-04 15:03:27下载
- 积分:1
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这个是应用混合高斯的背景建模的方法进行的目标检测的程序,需要应用opencv.供大家交流交流...
这个是应用混合高斯的背景建模的方法进行的目标检测的程序,需要应用opencv.供大家交流交流-this is the application of Gaussian mixture of the background modeling method for the detection procedures, opencv needed. for the exchange of exchange
- 2022-07-02 05:25:41下载
- 积分:1
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一个很好的图像处理的代码,可以实现连通区统计…
图像处理的一个非常好的代码,可以实现连通区的统计,经过实际测试效果很好。-Image processing of a very good code, can achieve connectivity District statistics show that the actual test well.
- 2022-11-23 15:10:04下载
- 积分:1
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均值漂移算法的matlab
mean shift 均值漂移算法的matlab实现,大家可以看看,比较实用-mean shift algorithm matlab mean-shift realize, we can look at more practical
- 2023-04-21 12:55:03下载
- 积分:1
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These are the codes in "A note on two
These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter
In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption that the same dimensionality is considered. In experimental parts, on one hand, we confirm the validity of our claim and show the matrix-based methods are not always better than vector-based methods in the small sample size problem on the other hand, we compare several distance measures when the feature matrices and feature vectors are adopted.
- 2022-02-25 08:19:20下载
- 积分:1