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inpainting
object removal在图像处理中的意思是用户可以随意擦去图像中的一个物体,算法可以自动的用背景中的信息补去空洞,达到看不出来是处理过的效果,又叫inpainting,该程序由matlab写成,效果非常好,文档、演示、测试图像均齐全-(object removal in image processing means that users can remove images of an object, the algorithm can automatically use the background information to fill empty, reaching out is not to look over the effectiveness of treatment, also known as inpainting, the program by matlab languages, has very good results, documents, presentations, test images have complete
)
- 2010-06-25 10:24:22下载
- 积分:1
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logistic
说明: 求Lyapunov指数,LOGISITIC映射(Seek Lyapunov index, LOGISITIC map)
- 2010-04-08 17:22:48下载
- 积分:1
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waveletspectrum
说明: 用于小波滤波器的谱分析,mallat分解法。实现信号的重构(for wavelet spectral analysis, Mallat decomposition. Signal Reconstruction)
- 2006-04-01 16:11:31下载
- 积分:1
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Tracking_Eyes
this program is tracking eyes in the images as given in the sample images of eyes only.
- 2014-01-19 13:56:04下载
- 积分:1
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PN_Phase_Trace
gps跟踪中的伪码相位,很好用的,可以下载下来(pncode——track)
- 2010-11-27 13:33:46下载
- 积分:1
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schedule
这是一个工序调度MATLAB程序,希望对大家有用!(This is a MATLAB program scheduling process, we hope to be useful!)
- 2011-01-24 17:16:30下载
- 积分:1
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shenjingwangluo
T=[1 0 0 1 0 0 1 0 0
0 1 0 0 1 0 0 1 0
0 0 1 0 0 1 0 0 1]
输入向量的最大值和最小值
threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1]
net=newff(threshold,[31 3],{ tansig , logsig }, trainlm )
训练次数为1000,训练目标为0.01,学习速率为0.1
net.trainParam.epochs=1000
net.trainParam.goal=0.01
LP.lr=0.1
net = train(net,P,T)
测试数据,和训练数据不一致
P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319
0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )
- 2011-05-21 16:47:44下载
- 积分:1
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weld_Gaussian
Abaqus焊接传热分析中高斯热源子程序(Abaqus subroutine DFlux of Gaussian Heat Source for welding analysis)
- 2014-09-15 09:35:10下载
- 积分:1
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BoundedDistortion_DISTRIBUTE
Bounded Distortion Mapping Spaces For Triangular Meshes 配套代码(Bounded Distortion Mapping Spaces For Triangular Meshes)
- 2013-12-07 05:28:15下载
- 积分:1
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bw2zh
matlab 基于双峰法的迭代二值化程序(matlab bmp2 bw )
- 2010-07-24 13:09:17下载
- 积分:1