Error using horzcat Dimensions of matrices being concatenated are not consistent.

Red = seg_img(:,:,1);
Green = seg_img(:,:,2);
Blue = seg_img(:,:,3);
[yRed, x] = imhist(Red,16);
[yGreen, y] = imhist(Green,16);
[yBlue, z] = imhist(Blue,16);
RedHist = [yRed,x];
GreenHist = [yGreen,y];
BlueHist = [yBlue,z];
figure
plot(x, yRed, 'Red', x, yGreen, 'Green', x, yBlue, 'Blue');

T = otsuthresh(yBlue);
BW = imbinarize(yBlue, T);
otsuRes = T;

CCV = getICCV(seg_img);
CCVres = CCV;

LBPresult = LBP(seg_img,1);
LBPres = LBPresult;
figure
imshow(LBPresult);

mapping=getmapping(8,'uint8'); 
[CLBP_SH,CLBP_MH]=clbp(seg_img,1,8,mapping,'h');
CLBPres = [CLBP_SH,CLBP_MH];

diseaseResults = [RedHist', GreenHist', BlueHist', otsuRes, CCVres', LBPres', CLBPres];

The error is in this line:

     diseaseResults = [RedHist', GreenHist', BlueHist', otsuRes, CCVres', LBPres', CLBPres];

could anyone please help?

[Stephen23]

What are the exact sizes of RedHist, GreenHist, BlueHist, otsuRes, CCVres, LBPres, and CLBPres? Please use the size command with each of those variables and tell us the exact output.

[Mayss Aliyeh]

RedHist, GreenHist, BlueHist: 16x2 double otsuRes: a single cell CCVRes: 4x27 double LBPRes: it's differenet each time, like 1198x1598 double The size command didn't work because them all are in a variable in a mat file

[Stephen23]

"The size command didn't work because them all are in a variable in a mat file"

Well, by the time you use those variables in that last line (where the error occurs) they are certainly not in any mat file, so you can simply put the size commands to replace that line.

In any case, if the sizes that you have given are correct then there is noway that they could be concatenated together into one numeric array like that: their rows and columns are simply incompatible. What exactly do you intend to do with the variable diseaseResults? Depending on what you want to do with diseaseResults you might be able to use cell arrays.

[Mayss Aliyeh]

I want to use it as my testing data in the machine learning multiclass SVM. How am I supposed to do them so??