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Example_of_edge_detection_edge_linking_and_line_se
这个matlab程序实现了Edge Linking and Line Segment Fitting，解压后直接运行demo.m就可以了
(
edgelink.m edge linking function that forms lists of connected edge points from a binary edge image. (Needs findendsjunctions and cleanedgelist below).
drawedgelist.m plots out a set of edge lists generated by edgelink or lineseg.
edgelist2image.m transfers edgelist data back into a 2D image array.
lineseg.m forms straight line segments fitted with a specified tolerance to the lists of connected edge points.
maxlinedev.m is also used by lineseg.m to calculate deviations of the edge lists from the fitted segments.
findendsjunctions.m finds line junctions and endings in a line/edge image.
cleanedgelist.m cleans up a set of edge lists generated by edgelink or lineseg so that isolated edges and spurs that are shorter than a minimum length are removed.)
- 2010-07-14 12:04:33下载
- 积分：1
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Gauss_elimination
Gauss Elimination Algorithm is used to solve linear equations in the form Ax=B, find rank of matrix and to find inverse of matrixes. The program is done in matlab platform.
- 2009-06-16 16:23:40下载
- 积分：1
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Volterraprediction1
说明： 混沌时间序列的Volterra一步预测的Matlab程序(chaotic time series forecast Volterra step procedure Matlab)
- 2006-03-04 13:55:52下载
- 积分：1
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hanoi
汉诺塔即时动画演示，程序动画可以给出每一步的移动过程(The hanoi tower)
- 2012-03-26 01:20:20下载
- 积分：1
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Matlab-extraction-curve
基于Matlab的图像曲线数据提取方法-Matlab-based image data extraction curve(Matlab-based image data extraction curve
Matlab-based image data extraction curve)
- 2015-01-22 15:43:56下载
- 积分：1
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flipants
matlab source code from mathworks
- 2009-03-28 22:15:23下载
- 积分：1
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ApsiR
矢量控制系统中的PI调节器，此为磁链调节器(PI regulator vector control system, this flux regulator)
- 2013-04-04 20:19:34下载
- 积分：1
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Simulation-of-dynamic-system
对于Matlab中simulink模块仿真进行了详尽的说明 主要用途集中在控制系统仿真上(This is a introduction of simulation of dynamic system based on the simulink module. This article focus on the control system.)
- 2011-12-11 23:56:35下载
- 积分：1
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PCA
PCA 人脸识别的matlab算法实现，采用ORL数据库(PCA)
- 2010-12-27 14:03:13下载
- 积分：1
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fit_ML_maxwell
fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!.
Given the samples of a log-normal distribution, the PDF parameter is found
fits data to the probability of the form:
p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2))
with parameters: m,s
format: result = fit_ML_log_normal( x,hAx )
input: x - vector, samples with log-normal distribution to be parameterized
hAx - handle of an axis, on which the fitted distribution is plotted
if h is given empty, a figure is created.
output: result - structure with the fields
m,s - fitted parameters
CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value
RMS - RMS error of the estimation
type - ML
- 2011-02-09 19:08:34下载
- 积分：1
