How to convert images to vectors

How can I convert my images with size 120 160 1 888 to vectors ?

where 120* 160 is the size of each gray scale image, 1 is the number of channels, 888 is the number of images

so the output will be matrix and each column in the matrix is an image, I should end up with 888 vectors each vector is image

Answer 1

[Dyuman Joshi]

From what I have understood -

%Random input
in = rand(120,160,1,888);
s = size(in);

%Convert the input to a cell vector
out = mat2cell(in,s(1),s(2),s(3),ones(1,s(4)));
size(out)

ans = 1×4

1 1 1 888

%Modify the size of the output 
out = squeeze(out)

out = 888×1 cell array
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}
    {120×160 double}

[M]

@Dyuman Joshi, Nope, I want to reshape each image 120*160 to a vector

The output will be 19200*888

By doing that I will not loss any information right?

[M]

@Dyuman Joshi

[Dyuman Joshi]

"By doing that I will not loss any information right? "

No

"The output will be 19200*888"

In that case, use reshape

%Random input
in = rand(120,160,1,888);
s = size(in)

s = 1×4

120 160 1 888

out = reshape(in,s(1)*s(2)*s(3),s(4));
size(out)

ans = 1×2

19200 888

[M]

@Dyuman Joshi these numbers are not fixed, I want something general

[Dyuman Joshi]

@M, I have edited my response, please check above.

[Walter Roberson]

in = rand(120,160,1,888);
s = size(in);

out = cell2mat(squeeze(cellfun(@(P) P(:), num2cell(in, 2),'uniform', 0)));

whos out

  Name          Size                 Bytes  Class     Attributes

  out       19200x888            136396800  double