hi, i have images of size 8X90 and i have to classify these images into five classes, i am using feedfwd backprop NN. can i do it without feature extraction? or should i do feature extraction??? please reply soon. thanx.
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"Feature extraction" can be said to include the use of any information derived from the image, no matter how simple or complex. For example, there are images that could be classified (in context) just by examining a single pixel, so checking that single pixel could be called "feature extraction".
In order to classify an image without using any information within the image itself ("feature extraction"), one would have to either classify randomly or else classify according to "meta-information" such as image file name or JPEG tag (e.g., date taken, focal length, GPS coordinates.)
It is, in some circumstances, possible to classify images based such meta-information. More often it is not.
Whether one must use the formalism of creating "feature vectors" or the like is a different matter than whether one uses "feature extraction" in its general sense. It is possible (and practical) to extract information from an image without using those kind of formal methods.