matlab - 运行我的旧项目，但在较新的 matlab 版本上。使用 table() 方法弹出错误。有什么改变吗？

Question

这是我创建的面部表情识别项目的 lbp 函数。这是在 2013 年创建的 matlab 版本。我目前在 2017a 上运行它。

这是我要运行的功能：

% result = lbp(I) returns the LBP histogram of the image I

function result = lbp(image) 

d_image=double(image);
radius=1;
neighbours=8;
neighbour_points=zeros(neighbours,2);

% Angle step.
a = 2*pi/neighbours;

for i = 1:neighbours
    neighbour_points(i,1) = -radius*sin((i-1)*a);

    neighbour_points(i,2) = radius*cos((i-1)*a);

end

% Determine the dimensions of the input image.
[m1,n1]=size(image);



miny=min(neighbour_points(:,1));

maxy=max(neighbour_points(:,1));

minx=min(neighbour_points(:,2));

maxx=max(neighbour_points(:,2));


blocksizey=ceil(max(maxy,0))-floor(min(miny,0))+1;

blocksizex=ceil(max(maxx,0))-floor(min(minx,0))+1;



% Coordinates of origin (0,0) in the block
origy=1-floor(min(miny,0));

origx=1-floor(min(minx,0));

% Minimum allowed size for the input image depends
% on the radius of the used LBP operator.
if(n1 < blocksizex || m1 < blocksizey)
    error('Small input image. Must be at least (2*radius+1) x (2*radius+1)');
end

% Calculate dx and dy;
dx = n1 - blocksizex;
dy = m1 - blocksizey;

% Fill the center pixel matrix C.
C = image(origy:origy+dy,origx:origx+dx);
%disp(C);    
d_C = double(C);
% Initialize the result matrix with zeros.
result=zeros(dy+1,dx+1);

%Computing the LBP code image

for i = 1:neighbours
    y = neighbour_points(i,1)+origy;

    x = neighbour_points(i,2)+origx;

    % Calculate floors, ceils and rounds for the x and y.
    fy = floor(y); cy = ceil(y); ry = round(y);
    fx = floor(x); cx = ceil(x); rx = round(x);
    % Check if interpolation is needed.
    if (abs(x - rx) < 1e-6) && (abs(y - ry) < 1e-6)
        % Interpolation is not needed, use original datatypes
        N = image(ry:ry+dy,rx:rx+dx);
        D = N >= C;
    else
        % Interpolation needed, use double type images
        ty = y - fy;
        tx = x - fx;        
        % Calculate the interpolation weights.
        w1 = roundn((1 - tx) * (1 - ty),-6);
        w2 = roundn(tx * (1 - ty),-6);
        w3 = roundn((1 - tx) * ty,-6);
        % w4 = roundn(tx * ty,-6) ;
        w4 = roundn(1 - w1 - w2 - w3, -6);        
        % Compute interpolated pixel values
        N = w1*d_image(fy:fy+dy,fx:fx+dx) + w2*d_image(fy:fy+dy,cx:cx+dx) + w3*d_image(cy:cy+dy,fx:fx+dx) + w4*d_image(cy:cy+dy,cx:cx+dx);
        N = roundn(N,-4);
        D = N >= d_C;
    end
    % Update the result matrix.
    v = 2^(i-1);
    result = result + v*D;
    if i==neighbours    

    end
end

load('binvector.mat');
bins = 59;
for i = 1:size(result,1)
    for j = 1:size(result,2)
        result(i,j)=table(result(i,j)+1);
    end
end


% calculating histogram
result=hist(result(:),0:(bins-1));




end

function x = roundn(x, n)
if n<0
    p=10 ^ -n;
    x=round(p*x)/p;
elseif n>0
    p=10^n;
    x=p*round(x/p);
else
    x=round(x);
end
end

这是弹出的错误：

Error using tabular/double (line 148)
Undefined function 'double' for input arguments of type 'table'. To convert to numeric, use the TABLE2ARRAY function, or
extract data using dot or brace subscripting.

Error in lbp (line 104)
        result(i,j)=table(result(i,j)+1);

我很长一段时间没有接触过 matlab，所以不知道如何解决这个问题，或者什么合适的替代方法是。任何输入将不胜感激。

标签： matlabimage-processingcomputer-vision