Convert complex double to double type

I am doing a feature extraction using glcm method. The glcm output are in 'struct' type, while i need the output in double type.
So, I've tried to convert it using several code showed below.
srcFile = dir('D:\1. Thesis FINISH!!!\*.png');
fetrain1 = [];
for b = 1:length(srcFile)
file_name = strcat('D:\1. Thesis FINISH!!!\',srcFile(b).name);
B = imread(file_name);
[gl] = glcm (B);
[gl] = struct2cell (gl);
[gl] = cell2mat (gl);
% [fiturtrain] = structfun(@double, gl, 'uniformoutput', 0);
% [fiturtrain] = double (gl);
[fiturtrain] = cell2mat (gl);
fetrain1 = [fetrain1 fiturtrain];
% vectorname = strcat(file_name,'_array.mat');
end
save ('fetrain1.mat','fetrain1');
But, the code give me 'complex double' type. I don't know why?
I need to convert fetrain1 from 'complex double' type into 'double' type, so I can use the variable for the next step. Or another way to covert 'struct' exactly to 'double' type.
Any suggestion would be very appreciated. Thank you.

4 个评论

hi..do you have the solution for this problem? because i also need to solve this problem so that i can use as input for svm classifier..kindly help me
A more detailed version of this question can be found at the Stack Exchange.
It would be good enough to go with real(data) which could be real(fetrain1) in your case.
Hope this helps!
Lin Li comments to Megha:
It helps to me. Thanks.

请先登录,再进行评论。

回答(2 个)

Judging by the discussion in the Stack Exchange, it seems likely that you can get what you want by replacing most of the code after B = imread(file_name) by the following:
imG = rgb2gray(B);
% create gray-level co-occurrence matrix from image
gimg = graycomatrix(imG);
% extract properties of gray-level co-occurrence matrix
stats = graycoprops(gimg, 'all');
features = [stats.Energy stats.Homogeneity stats.Correlation stats.Contrast];
Then features for multiple images can be assembled into a double-precision matrix, if desired. It's hard to tell what ana ain was trying to do.
Hi,Ana ain. Now I have encountered the same problem as you. Have you solved it yet? If it is solved, can you tell me? Thanks!!

类别

帮助中心File Exchange 中查找有关 Data Type Conversion 的更多信息

提问:

2016-5-24

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by