Images classification using SVM classifier

Hi All,

I am new in MATLAB,I have centers of training images, and centers of testing images stored in 2-D matrix ,I already extracted color histogram features,then find the centers using K-means clustering algorithm,now I want to classify them using using SVM classifier in two classes Normal and Abnormal,I know there is a builtin function in MATLAB but I don't know to adapt it to be used in this job,any help or suggestion will be helpful to me. Thank to All

[Payal Maken]

hi, can you share how you extract histgram features and use k-means clustering algorithm as i am also new to the matlab?

Answer 1

[Shashank Prasanna]

This example uses SVM for image classification. Maybe this is a start?

http://www.mathworks.com/help/vision/examples/digit-classification-using-hog-features.html

[hamed abdulaziz]

Thank you very much I will view it then back.

[hamed abdulaziz]

Thank you ,the svmclassify built in function classifies each row of the data in Sample,but I've represented each image by four rows of centers out of K-means clustering algorithm,so I don't know how to do training?any help or suggestion will be helpful to me.

[Shashank Prasanna]

Hi Hamad, I am not an image processing person, but you can always manipulate your features. if each image is a matrix as you say, (lets say X) you can always transform:

Xnew = X(:)';

such that each image becomes one observation. you can have many such observations that eventually feed into your machine learning algorithms.

There are several other machine learning algorithms that you can use:

http://www.mathworks.com/machine-learning/

[hamed abdulaziz]

Thank you again,yes each image is a matrix, then the training matrix will be contain many matrices for each image,now how can I use an SVM classifier to classify each image to Normal class(lets class 1) or Abnormal class(lets class 2)? Could you explain in matlab example where I am new in MATLAB, Thanks in advance.

[Shashank Prasanna]

Take a look at this example:

http://www.mathworks.com/machine-learning/examples.html?file=/products/demos/machine-learning/handwriting_recognition/handwriting_recognition.html

this example uses decision trees, but you could also use SVM

[Aravind]

Hello, sorry for late comment. I was wondering if the Digit Classification Using HOG Features example as suggested by @Shashank Prasanna worked out for you?

I'm using R2013a version and I'm not able to get it working

Answer 2

[DURGA SIVA PRASAD KORADA]

check below link download code there http://www.di.ens.fr/willow/events/cvml2011/materials/practical-classification/

Answer 3

[Rubia Fatima]

How to train facial images dataset for gender recognition using SVM plz help

[chinnurocks]

R u able to classify images using SVM ? I would like to implement a kind of this by taking occular region instead of facial image.

Thanks in advance.

[Walter Roberson]

Classifying gender based upon image is about as practical as classifying exact religious denomination based upon image -- which is to say, Not Possible.

Answer 4

[Gopal Lahoti]

how to classify normal and abnormal network traffic based on network parameter plzz suggest matlab code

Answer 5

[Vidhyasri N]

How to find mammogram classifications using svm classifier in matlab.?

Answer 6

[tabinda nasir]

can anyone help me about video summarization.