搜索资源列表
分形维数算法计算纹理粗糙度
- 分形维数算法计算纹理粗糙度
fen
- 本程序是利用分形维数方法计算图像粗糙度的一个函数,可以直接调用-This procedure is to use method of fractal dimension as a function of roughness of the image, you can directly call
fraccompress
- 盒维数计算,对分形维数计算有较好的效果,代码清晰,是学习分形维数的一个途径-Calculation of box dimension of fractal dimension calculation of a better effect, the code clear, is to study the fractal dimension of a channel
fenxingweishu
- 计算分形维数的程序。此程序用于图像的特征提取。可用来进行目标判决。将测量数据集看作分形数据集,利用分形维数的大小来表示数据集的不规则性。-Fractal dimension calculation procedures. This procedure for image feature extraction. Can be used to target judgments. Measurement data set will be regarded as fractal data sets, t
Fractal-dimension
- 提取图片的信息,计算其分形维数,能计算多种图形-Extract image information, to calculate the fractal dimension, can be calculated a variety of graphics
m
- 图像二值化分割,然后进行分形维数求解,可计算各种格式的二维图片。-Binary image segmentation, and then solving the fractal dimension, calculate the two-dimensional images in various formats.
fractalDimension_ffu
- 计算数字图像的分形维数,导入数字图像,调用这个函数,就可以得到分形曲线,斜率,玫瑰花图-caculate fractal dimension of digital image, import a matrix and call this .m file, then you will get waht you want.
fractal
- 计算图像的分形维数,盒子维。基于DBC(Differential Box-Counting)方法。结果表明,分形维数FD能够较好地刻画纹理图像的复杂程度。-Calculated image fractal dimension, box dimension. Based on DBC (Differential Box-Counting) method. The results show that the fractal dimension FD to better characterize th
boxcount
- 用盒维法计算图像分形维数,建立分形方式。-Calculate the image fractal dimension by box dimension method, the establishment of fractal manner.
fenxingweishu
- 介绍2种计算分形维数的算法,里边包含2个程序,计算比较简单,分行维数主要是获取图像的表面粗糙度-fractal dimension
fractal_calculate_fusion
- 计算图像的分形维数,目前计算的是盒子维数-The fractal dimension of the image is calculated
fenxingweishutuxiang
- 求分形维数。可以比较精确的计算出分形维数,基于matlab(Finding fractal dimension)
KATP51
- 用最小二乘法计算分形图案的维数,试试看怎么样,请多包涵!!()
图像分形维数计算
- 使用matlab语言,编写一个计算图像分形维数的小程序(Using matlab language, write a small program for calculating image fractal dimension)
结构函数法
- 通过拟合出一条曲线,对这个曲线进行结构函数法的分形维数计算,得到其粗糙度(By fitting a curve, the fractal dimension of the curve is calculated by structural function method, and its roughness is obtained)