Accession Number:

ADA218064

Title:

Texture Segmentation Using Localized Spatial Filtering

Descriptive Note:

Final rept.

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC

Personal Author(s):

Report Date:

1990-01-26

Pagination or Media Count:

38.0

Abstract:

Spatial filters based on two-dimensional Gabor functions are applied to the image segmentation problem using textural differences for discrimination. In order to provide class separability, the textural content of a scene must have spatial variations which exhibit characteristic differences in frequency andor directional bandwidths. This idea stems from discoveries in vision research that the Gabor functions model effectively the architecture of the neural receptive fields in the striate visual cortex and in the belief that such functions can play an important role in the analytical study of machine vision, pattern recognition and image processing. This new technique in image segmentation does not required burdensome machine data processing as compared with other techniques based on pixel classification. In this paper the technique is applied to some SAR images of the open ocean surface and of some ice fields. The results are very encouraging.

Subject Categories:

  • Cybernetics
  • Printing and Graphic Arts
  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE