Title :
Modulation domain image segmentation
Author :
Tangsukson, T. ; Havlicek, J.P.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oklahoma Univ., Norman, OK, USA
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;
Conference_Titel :
Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium
Conference_Location :
Austin, TX
Print_ISBN :
0-7695-0595-3
DOI :
10.1109/IAI.2000.839569
