Accession Number:

ADA089484

Title:

Two Experiments on Statistical Image Segmentation.

Descriptive Note:

Technical rept.,

Corporate Author:

SOUTHEASTERN MASSACHUSETTS UNIV NORTH DARTMOUTH DEPT OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1980-09-15

Pagination or Media Count:

28.0

Abstract:

Recently there has been a considerable research interest in applying statistical pattern recognition theory to image segmentation. As the image is rich in statistical information, effective segmentation of images into meaningful parts can be performed by using statistical techniques. In this report, we present segmentation results on infrared and reconnaissance images using two different statistical pattern recognition methods. The first experiment is on the Alabama data base infrared images using the Fishers linear discriminant analysis 1. To preserve the inter-pixel dependence as much as possible, measurements are taken in the form of a 3 x 3 matrix. That is we are dealing with matrix measurements instead of vector measurements as typically considered in statistical pattern recognition. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE