utilising imwarp and affine2d for transformation on dataset

Hi Professionals,

I am trying to perform tranformations on a small dataset of 40 images, is there a method to pass all of the images into the function so that it transform all the images

simultaneously?

I am interested in the affine2d random method and the imwarp!!

I lack the knowledge of how to code this!

ERROR: everytime I try my to pass in my data set the system prompts with an error!!

Error using imwarp>parseInputs (line 342)
The value of 'InputImage' is invalid. Expected input number 1, A, to be one of these types:

logical, uint8, uint16, uint32, int8, int16, int32, single, double
Instead its type was table.
Error in imwarp (line 190)
parsedInputs = parseInputs(varargin{:});
Error in test15 (line 85)
augimdsTrainwarp = imwarp(SgTruth,tform1) 
>> 

Can a professional assist me with gaining the knowledge on how to go about coding this example?

I have tried the singe image and it worked! what i am trying to do is get the function to accpet all 40 images and present them in their new transformed state!!

SgTruth is my data set of 40 images!!!

pixelRange = [-30 30];
[imdsTrain,imdsValidation] = digitTrain4DArrayData;
imageAugmenter = imageDataAugmenter('RandRotation',[-180 180],...
'RandXReflection',true,...
'RandYReflection',true,...
'RandXShear',pixelRange,...
'RandYShear',pixelRange,...
'RandXTranslation',pixelRange, ... 
'RandYTranslation',pixelRange)

%% imageSize = [227 227 3];
augimdsTrain = augmentedImageSource(inputSize(1:2),imdsTrain,imdsValidation,...
'DataAugmentation',imageAugmenter)
augimdsTrain.MiniBatchSize = 16
augimdsTrain.reset()

% tform1 = affine2d([2 0.33 0; 0 1 0; 0 0 1])
% 
% augimdsTrainwarp = imwarp(SgTruth,tform1)

Answer 1

[Divya Gaddipati]

You can concatenate all the images in a matrix of size m x n x c x t where

m = width, n = height, c = number of channels, t = total number of images.

Use randomAffine2d to define the transformation and then use imwarp on the concatenated matrix

For example:

tform = randomAffine2d('Scale',[0.95,1.05],'Rotation',[-30 30]);
res = imwarp(im_3d, tform);

For more information on randomAffine2d, you can refer to the following link:

https://www.mathworks.com/help/images/ref/randomaffine2d.html

Hope this helps!