What are the features of an image?

1 view (last 30 days)
I need to find the features of the given input image and i need to find the matrices present in the image. Then i need to apply neural network to it. How to do it?

Accepted Answer

Walter Roberson
Walter Roberson on 20 Sep 2012
Basically, anything you can compute using the information in the image qualifies as a "feature" of the image. Average brightness? It's a feature. Third moment of the Knight's Tour of the image? It's a feature. MD-5 hash of the four corner pixels? It's a feature.
How many features does an image have? Answer: an infinite number.
How many useful features does an image have? No-one knows, and the number is "unknowable" at this time. Quite possibly infinite.
Which features should you use for your purposes? You need to experiment. I would not advise looking for the "best" set of features, by the way: a better feature set is likely to be found within a few hundred years at most.
  1 Comment
abinaya sangi
abinaya sangi on 22 Feb 2016
http://www.mathworks.com/matlabcentral/fileexchange/44429-knights-tour. I have taken coding from the above link.could you help me to do reverse of knight's tour of the same program?

Sign in to comment.

More Answers (2)

Image Analyst
Image Analyst on 19 Sep 2012
You'd have to use image processing. So that answers the first question.
For the second question, I don't use neural networks so I can't answer that question with as much authority, but I guess you'd use the Neural Network Toolbox to create a neural network, and send your image into it.

WangKan
WangKan on 1 Nov 2016
Is that means that we need to extract proper features according to our purpose? Thank you for your time!
  2 Comments
Walter Roberson
Walter Roberson on 1 Nov 2016
Yes. And the features that turn out to be useful for one purpose might not be the same as for another purpose.
In my experience, it is difficult to predict which features will turn out to be most "explanatory" for any particular goal. A number of times it turned out that the best feature was the relative height of two obscure chemical peaks in the Magnetic Resonance Spectrometry readings, reflecting a biological process that had not been previously explored.

Sign in to comment.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!