Description: 盒子算法计算分形维数的源程序，MATLAB写的，希望对大家有用-Box algorithm for calculating the fractal dimension of the source code, MATLAB write, and I hope useful for everyone Platform: |
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Author:jwt |
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Description: 盒子算法计算分形维数的源程序，MATLAB写的，希望对大家有用-Box algorithm for calculating the fractal dimension of the source code, MATLAB write, and I hope useful for everyone Platform: |
Size: 3072 |
Author:jwt |
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Description: 基于matlab的图像纹理处理，用盒维分形算法实现。-Matlab image texture based on the treatment, using box-counting dimension of fractal algorithm. Platform: |
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Author:张雪 |
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Description: 计算分形维数的计盒算法，用于边长相等的图像的算法-Calculation of fractal dimension of the box algorithms for the edge of the image appearance, such as the algorithm Platform: |
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Author:顾斌 |
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Description: 算差分盒维数的matlab程序。 让窗口中的每个像素都对分数维作出贡献。首先,计算某一尺度窗口的平均灰度值 ,然后判断每一个像素的灰度 ,若大于灰度平均值 ,则累加其灰度值为 max ,若小于灰度平均值 ,则累加其灰度值为min ,用max 和min代替 在 Sarkar 和 Chaudhuri 算法中的最大值和最小值 ,再通过拟合求出分数维。 -Differential count box dimension matlab program. Let window on the fractal dimension of each pixel to contribute. First, the calculation of an average gray scale of the window, and then determine the gray scale of each pixel, if the intensity is greater than the average, the cumulative value of its gray max, if less than the average gray level, the accumulation of its gray value of min, max and min to use instead of the algorithm in Sarkar and Chaudhuri maximum and minimum, and then by fitting the calculated fractal dimension. Platform: |
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Author:冯家乐 |
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Description: 计盒分形维数计算的matlab源代码编程实现过程-Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M)
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Usage: Computes fractal dimension by box counting(BC) method.
NOTE: Running the code may take a little time, because it calculates
dimensions for all embedding dimensions up to M.
This code is based on an algorithm that constructs a box for the first
observation and for other observations test which it belongs to previous
box(s). If the observation belongs to one of the existent boxes then
increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need
binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen Platform: |
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Author:panwangsheng |
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Search - box counting matlab algorithm