Modulation Domain Image Segmentation

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	Similar Articles Articles by T. Tangsukson Articles by J.P. Havlicek

4th IEEE Southwest Symposium on Image Analysis and Interpretation

Austin, Texas

April 02-April 04

ISBN: 0-7695-0595-3

	ASCII Text	x
	T. Tangsukson, J.P. Havlicek, "Modulation Domain Image Segmentation," Image Analysis and Interpretation, IEEE Southwest Symposium on, pp. 46, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000.

	BibTex	x
	@article{ 10.1109/IAI.2000.839569, author = {T. Tangsukson and J.P. Havlicek}, title = {Modulation Domain Image Segmentation}, journal ={Image Analysis and Interpretation, IEEE Southwest Symposium on}, volume = {0}, year = {2000}, isbn = {0-7695-0595-3}, pages = {46}, doi = {http://doi.ieeecomputersociety.org/10.1109/IAI.2000.839569}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Analysis and Interpretation, IEEE Southwest Symposium on TI - Modulation Domain Image Segmentation SN - 0-7695-0595-3 SP EP A1 - T. Tangsukson, A1 - J.P. Havlicek, PY - 2000 KW - AM-FM image models KW - amplitude modulation KW - frequency modulation KW - image modulation models KW - image texture KW - image segmentation KW - texture segmentation KW - clustering algorithms VL - 0 JA - Image Analysis and Interpretation, IEEE Southwest Symposium on ER -

T. Tangsukson, University of Oklahoma

J.P. Havlicek, University of Oklahoma

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IAI.2000.839569

We present a modulation domain technique for segmenting textured images modeled as 2-D multicomponent AM-FM functions. A Gabor filterbank is used to derive estimates of the dominant modulations at each image point and statistical clustering is then performed with respect to a similarity measure based on modulation domain entropy. Post processing is applied in the image domain to regularize the solution and enforce spatial correspondence. Several synthetic and natural examples are presented.

Index Terms:

AM-FM image models, amplitude modulation, frequency modulation, image modulation models, image texture, image segmentation, texture segmentation, clustering algorithms

Citation:

T. Tangsukson, J.P. Havlicek, "Modulation Domain Image Segmentation," ssiai, pp.46, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

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