Problem in image classification

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nayomi ranamuka
nayomi ranamuka 2011-4-11
Hi,Im new to the area of image processing. I want to classify an image into different categories(into different classes).How it should be done ?

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Walter Roberson
Walter Roberson 2011-4-11
That topic has kept entire teams of PhD's busy for decades and is likely to take more decades yet.
If you are willing to restrict the varieties of images and what you want to classify them as, then people might be able to offer some more-specific suggestions.
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nayomi ranamuka
nayomi ranamuka 2011-4-22
I want to classify an image into different classes . And these classes should have the properties according to image intensities. We know that components of images are in different intensities. So these classes should indicate each components of image. For an example if an image has 2 components with bright area and dark area, then we should classify the image into to categories.
Thank you..
Walter Roberson
Walter Roberson 2011-4-22
You just need to find the _number_ of components? Or you need to identify which components are present, and the selection of components for any one image will be used to decide which class it falls in to? Or do you need to find the boundaries within each image of components with known properties? Or do you need the program to automatically figure out the "best" number of components _and_ the location of those components??
If you knew the number of components ahead of time, N, then
[X,map] = rgb2ind( repmat(rgb2gray(IMAGE),[1,1,3]), N );
This would quantize the intensities of the pixels to the "best" (least squared error) N intensities. The result would, however, have no pretense of having the N different values connected together, but perhaps it is enough to give you a good start. For example, you could bw1 = bwlabel(X==1); rp1 = regionprops(bw1); and then go through and remove "small" regions from consideration -- though imerode() might be better for that particular purpose.

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