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GPEXPAND-and-GPREDUCE
图像的高斯与拉普拉斯金字塔分解，两种方法都有(Image gaussian and Laplacian pyramid decomposition, there has two kinds of method)
- 2021-01-27 20:48:42下载
- 积分：1
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Joint-Bayesian-master
联合贝叶斯人脸验证python代码，机器学习(Joint Bayes face verification)
- 2018-05-21 10:21:53下载
- 积分：1
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blindBAYNLM
图像降噪、贝叶斯估计、盲源降噪,采用盲源方法进行噪声估计，再进行贝叶斯非局部均值降噪(Image denoising, Bias estimation and blind source noise，The blind source method for noise estimation, then the Bayes non local mean noise reduction)
- 2016-02-27 19:58:19下载
- 积分：1
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J2KLib
Jpeg2000静态库，只需Encoder和Decoder两个函数轻松搞定Jpeg2000和Bitmap的转换，带示范程序，非常有用(Jpeg2000 static libraries, Encoder and Decoder only two functions easy to get and Bitmap Jpeg2000 The change model procedures with very useful)
- 2020-07-13 17:28:52下载
- 积分：1
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sift_registration_matlab
说明： 基于sift特征提取的图像配准的几个案例(Several cases of image registration based on SIFT feature extraction)
- 2020-08-09 15:54:14下载
- 积分：1
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jpeg
本项目成功地实现了jpeg图像的压缩非常实用！！！！！！(The project successfully realized the jpeg image compression is very useful!!!!!!!!!!!!!!!!)
- 2016-03-13 05:37:57下载
- 积分：1
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biandaoxianjiance
该程序包是道路边缘和车道线检测与跟踪的matlab程序，可运行，实验效果很好(The package is the road edge and lane detection and tracking matlab program, you can run, experimental works well)
- 2012-07-12 16:46:32下载
- 积分：1
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xroi
IDL关于图像感兴趣图像区域进行编辑并将结果输出，多ROI区域DN值信息比较(IDL about the region of the image interested in editing and exporting the results, and comparing the DN value information of the multiple ROI regions)
- 2020-12-07 15:39:21下载
- 积分：1
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MeanShiftcode
说明： mean shift 算法用于目标跟踪,其中有4个文件.(mean shift algorithm for target tracking, including four documents.)
- 2008-11-26 16:27:21下载
- 积分：1
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duochongxiaobo
说明： 小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)
- 2020-12-24 11:48:44下载
- 积分：1
