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Re: KMean Clustering of RGB Images [message #53904 is a reply to message #53902]

Wed, 09 May 2007 03:00

helaha
Messages: 26
Registered: March 2004

Junior Member

> Not sure what you mean by "order of the data points". But any clustering
> algorithm that minimizes a cost function (like k-means) can get trapped
> in a local minimum.

Thank you Mort,
concerning the "order of data points" it is necessary to think about
the construction of the RGB Data space. The original RGB image is a 3
dim. array e.g. [3,ImageSizeX, ImageSizeY]. The RGB Data space, which
should be clustered concerning only the grey values and without
consideration of the pixel locations, has two dimensions e.g. [3,
NumberOfPixels ]. Therefore the individual image pixels are
transformed in a sequence of RGB triple values ("data points"). The
first triple values correspond to the pixel located at [3, 0, 0] e.g.
the left bottom corner of the image. If the image is mirrored, rotated
ore transposed before RGB space construction, then the first RGB
triple value will be altered. Nevertheless all the individual image
pixels were transformed into the RGB space, only the sequence is
changed.

Thanks,
Helmut

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[Message index]

		Re: KMean Clustering of RGB Images By: Mort Canty on Wed, 09 May 2007 07:43
		Re: KMean Clustering of RGB Images By: helaha on Wed, 09 May 2007 05:08
		Re: KMean Clustering of RGB Images By: Mort Canty on Wed, 09 May 2007 04:36
		Re: KMean Clustering of RGB Images By: helaha on Wed, 09 May 2007 03:00
		Re: KMean Clustering of RGB Images By: Mort Canty on Tue, 08 May 2007 06:13

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