MATLAB: Clustering Of AlexNet Features 2018a

clusteringextractionfeaturesimage analysis

I have used AlexNet for feature extraction on images, and stored result ie feature in a matrix of 9677*4096, 9677 row corresponding to 9677 images with 4096 features. Now i want to classify each image (row) as one class using unsupervised learning (clustering) and I need help please

Thank you

Best Answer

This demo shows the unsupervised clustering you need.

https://jp.mathworks.com/matlabcentral/fileexchange/75342-image-clustering-and-dimension-reduction-using-cnn

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MATLAB: Image feature based clustering

https://jp.mathworks.com/matlabcentral/fileexchange/75342-image-clustering-and-dimension-reduction-using-cnn

This code performs image clustering using the image features extracted by pre-trained CNN model. Hope it helps you!

MATLAB: Transfer Learning Using AlexNet

A really simple example is as follows:

vid = videoinput('winvideo', 1);
set(vid, 'ReturnedColorSpace', 'RGB');
img = getsnapshot(vid);
labelMachine(img,net,classifier) % net and classifier are from your transfer learning on alexnet

function label = labelMachine(img,net,classifier)
  featureLayer = 'fc7';
  % Pre-process the image as required for the CNN
  img = imresize(img, [227 227]);
  % Extract image features using the CNN
  imageFeatures = activations(net, img, featureLayer);
  % Make a prediction using the classifier
  label = char(predict(classifier, imageFeatures));
end

I did a project that used a webcam and alex net transfer learning which can be found here if you need further referances.

Best Answer

Related Solutions

MATLAB: Image feature based clustering

MATLAB: Transfer Learning Using AlexNet

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