Modulation domain image segmentation

Author

Tangsukson, T. ; Havlicek, J.P.

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Oklahoma Univ., Norman, OK, USA

fYear

2000

fDate

2000

Firstpage

46

Lastpage

50

Abstract

We present a modulation domain technique for segmenting textured images modeled as 2D multicomponent AM-FM functions. A Gabor filter bank 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 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

Keywords

amplitude modulation; entropy; estimation theory; filtering theory; frequency modulation; image representation; image segmentation; image texture; pattern clustering; statistical analysis; 2D multicomponent functions; AM-FM functions; Gabor filter bank; entropy; image segmentation; modulation estimates; post processing; regularization; similarity measure; spatial correspondence; statistical clustering; textured images; Aging; Computer vision; Electrical capacitance tomography; Entropy; Filtering; Frequency modulation; Image recognition; Image segmentation; Layout; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium

Conference_Location

Austin, TX

Print_ISBN

0-7695-0595-3

Type

conf

DOI

10.1109/IAI.2000.839569

Filename

839569