Image Processing.

Abstract

This report is organized according to the topics we have worked under this project which include statistical image segmentation, two-dimensional ARMA models, multichannel (multivariate) maximum entropy spectral analysis, and non-Gaussian signal processing, etc. Under each topic, the reports and papers published or presented are also listed. A new AED-512 Imaging/Graphics terminal has been installed in our PDP11/45 minicomputer. The use of the terminal for the image processing project research is also presented. Statistical image segmentation refers to the computer-oriented procedures that partition the image into meaningful parts by using the statistical pattern recognition techniques. A number of techniques have been studied, some of which are supervised while others are unsupervised. A critical evaluation of these techniques has been made. Furthermore we have performed an extensive computer study of the Fisher's linear discriminant method, maximum likelihood estimation and decision-directed method for image segmentation.

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Document Details

Document Type
Technical Report
Publication Date
Feb 16, 1981
Accession Number
ADA095552

Entities

People

  • Chia‐Hung Chen

Organizations

  • University of Massachusetts Dartmouth

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Programming
  • Computer Science
  • Computer Vision
  • Computers
  • Electrical Engineering
  • Image Processing
  • Image Segmentation
  • Information Science
  • Maximum Likelihood Estimation
  • Pattern Recognition
  • Probability
  • Recognition
  • Signal Processing
  • Statistical Analysis
  • Statistics
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Computer Vision.
  • Statistical inference.

Technology Areas

  • AI & ML