Matlab到OpenCV转换的示例 [英] Examples of Matlab to OpenCV conversions
问题描述
有时候我不得不将一些Matlab代码移植到OpenCV。
From time to time I have to port some Matlab Code to OpenCV.
几乎总是有一种方法可以做到，并在OpenCV中有一个合适的函数。但是它并不总是很容易找到。
Almost always there is a way to do it and an appropriate function in OpenCV. Nevertheless its not always easy to find.
因此，我想开始这个摘要找到和收集Matlab和OpenCV之间的一些等价物。
Therefore I would like to start this summary to find and gather some equivalents between Matlab and OpenCV.
我使用Matlab函数作为标题，并附加其描述从Matlab帮助。
I use the Matlab function as heading and append its description from Matlab help. Afterwards a OpenCV example or links to solutions are appreciated.
推荐答案
Repmat
复制和平铺数组。 B = repmat（A，M，N）创建由A的副本的M乘N平铺组成的大矩阵B.B的大小是[size（A，1）* M，size（A，2） * N]。语句repmat（A，N）创建N乘N平铺。
Repmat
Replicate and tile an array. B = repmat(A,M,N) creates a large matrix B consisting of an M-by-N tiling of copies of A. The size of B is [size(A,1)*M, size(A,2)*N]. The statement repmat(A,N) creates an N-by-N tiling.
B = repeat（A，M，N）
B = repeat(A, M, N)
非零元素的索引。 I = find（X）返回对应于数组X的非零项的线性索引.X可以是逻辑表达式。使用IND2SUB（SIZE（X），I）从线性指数I计算多个下标。
Find indices of nonzero elements. I = find(X) returns the linear indices corresponding to the nonzero entries of the array X. X may be a logical expression. Use IND2SUB(SIZE(X),I) to calculate multiple subscripts from the linear indices I.
Similar to Matlab's find
二维卷积。如果[ma，na] = size（A），[mb，nb] = size（B），[mc，nc] =大小（C），则mc = max（[ma + mb-1，ma，mb]）和nc = max（[na + nb-1，na，nb]）。
Two dimensional convolution. C = conv2(A, B) performs the 2-D convolution of matrices A and B. If [ma,na] = size(A), [mb,nb] = size(B), and [mc,nc] = size(C), then mc = max([ma+mb-1,ma,mb]) and nc = max([na+nb-1,na,nb]).
缩放数据并显示为图像。
Scale data and display as image. imagesc(...) is the same as IMAGE(...) except the data is scaled to use the full colormap.
SO Imagesc
多维图像的ND滤波。 B = imfilter（A，H）用多维滤波器H来过滤多维数组A.A可以是逻辑的，或者可以是任何类和维的非稀疏数值数组。结果B的大小和类别与A相同。
N-D filtering of multidimensional images. B = imfilter(A,H) filters the multidimensional array A with the multidimensional filter H. A can be logical or it can be a nonsparse numeric array of any class and dimension. The result, B, has the same size and class as A.
区域最大值。 BW = imregionalmax（I）计算I的区域最大值.imregionalmax返回识别I中的区域最大值的位置的二进制图像BW，其大小与I相同。在BW中，设置为1的像素识别区域最大值;所有其他像素都设置为0。
Regional maxima. BW = imregionalmax(I) computes the regional maxima of I. imregionalmax returns a binary image, BW, the same size as I, that identifies the locations of the regional maxima in I. In BW, pixels that are set to 1 identify regional maxima; all other pixels are set to 0.
2-D阶统计滤波。 B = ordfilt2（A，ORDER，DOMAIN）将A中的每个元素替换为由DOMAIN中非零元素指定的邻近排序集合中的ORDER-th元素。
2-D order-statistic filtering. B=ordfilt2(A,ORDER,DOMAIN) replaces each element in A by the ORDER-th element in the sorted set of neighbors specified by the nonzero elements in DOMAIN.
选择多边形感兴趣区域。使用roipoly选择图像中的多边形感兴趣区域。 roipoly返回一个二进制映像，您可以用它作为掩码过滤的掩码。
Select polygonal region of interest. Use roipoly to select a polygonal region of interest within an image. roipoly returns a binary image that you can use as a mask for masked filtering.
。 [FX，FY] =梯度（F）返回矩阵F的数字梯度.FX对应于dF / dx，x（水平）方向上的差异。 FY对应于dF / dy，y（垂直）方向上的差异。假定每个方向上的点之间的间隔为1。当F是向量时，DF =渐变（F）是1-D渐变。
Approximate gradient. [FX,FY] = gradient(F) returns the numerical gradient of the matrix F. FX corresponds to dF/dx, the differences in x (horizontal) direction. FY corresponds to dF/dy, the differences in y (vertical) direction. The spacing between points in each direction is assumed to be one. When F is a vector, DF = gradient(F)is the 1-D gradient.
索引从多个下标。 sub2ind用于确定与给定的一组下标值对应的等效单个索引。
Linear index from multiple subscripts. sub2ind is used to determine the equivalent single index corresponding to a given set of subscript values.
SO sub2ind
求解线性方程组 A * x = B 。矩阵A和B必须具有相同的行数。
solves the system of linear equations A*x = B. The matrices A and B must have the same number of rows.
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