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对于一幅输入图像，将产生一幅输出图像，输出图像的每个像素点的灰度值由输入像素点决定，将感兴趣特征的对比度扩展使之占据可显示灰度级的更大部分。使一输入图像转换为在每一灰度级上都有相同的像素点数，均衡化会减少灰度级数。大多数自然图像由于其灰度值分布集中在较窄的范围之内，引起图像细节不够清楚。采用直方图修正后可使图像的灰度间距拉大或使灰度均匀分布，从而增大了反差，使图像细节清楚，达到增强的目的。(For an input image, will produce an output image, the output image gray value of each pixel from the input pixel decided to expand interest in the contrast of features to make it account for more gray levels can be displayed most. Make an input image is converted to grayscale in each pixel have the same points, equalization will reduce the gray series. Most natural images because of their gray value distribution concentrated in a narrow range, causing the image detail is not clear enough. Make the image histogram revised by the gray space widening or so gray uniform distribution, thereby increasing the contrast between the image details clear objective to achieve enhanced.)
- 2010-06-08 15:02:11下载
- 积分：1
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11912872KPCAandPCA
face recognition using PCA algorithm
- 2009-04-30 23:39:25下载
- 积分：1
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calcnbins.m
calculate optimum number of bins when construct histograming.
- 2009-06-28 14:44:50下载
- 积分：1
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Chaos_TimeSeries_Prediction_Program
说明： 混沌时间序列预测程序,包括多步预测函数及多步预报的主程序。(Chaotic time series prediction procedures, including multi-step prediction function and multi-step prediction of the main program.)
- 2008-09-08 22:30:50下载
- 积分：1
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JM97Bcount
97年中国大学生数学建模竞赛B题（枚举法） (1997 China Undergraduate Mathematical Contest in Modeling B (enumeration))
- 2013-07-16 21:42:28下载
- 积分：1
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music(doa)
七单元天线阵MUSIC DOA估计：
d=1 ， 天线阵元的间距；
lma=2， 信号中心波长；
四输入信号；
A=[A1,A2,A3,A4]， 得出A矩；
四信号的频率d=[1.3*cos(v1*n)
1*sin(v2*n)
1*sin(v3*n)
1*sin(v4*n)]
构造输入信号矢量
U=A*d
总的输入信号
总输入信号的协方差矩阵
[s,h]=eig(c)
求协方差的特征矢量及特征值
取出与零特征值对应的特征矢量
求协方差矩阵的逆矩阵
应用Music法估计输出
绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)
- 2013-04-15 23:48:49下载
- 积分：1
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matmef2
mathematics with matlab
- 2013-12-22 03:06:03下载
- 积分：1
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60179234620073231955231772051
最小生成树，不只到谁能将他转换成MATLAB语言的算法？(Minimum spanning tree, not only to him who can convert MATLAB algorithms language?)
- 2008-12-21 23:07:26下载
- 积分：1
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CPUSchedule
3个CPU调度算法的simulation. 分别是Short Job First,High Return Ration Next, Round Robin.
模拟得到R,U,S等重要指标。(3 CPU scheduling algorithm of the simulation. Were Short Job First, High Return Ration Next, Round Robin. Simulated R, U, S and other important indicators.)
- 2007-09-30 22:30:05下载
- 积分：1
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B.North-Joomla
menya zavut ololo! vne nujen pish-pish!
- 2010-08-11 00:16:41下载
- 积分：1
