A Study of Texture Analysis Algorithms.

Abstract

This research has focused upon evaluating and developing texture analysis algorithms. During the current year theory has been developed for evaluating texture analysis algorithms. It has been shown that the Spatial Gray Level Dependence algorithm is a superior algorithm under fairly weak assumptions. The assumption required is that the textures be translation stationary random fields of order two. Under these assumptions, the SGLDM algorithm is superior to the Power Spectral Method, the Gray Level Run Length Method and the Gray Level Difference Method. The SGLDM algorithm has therefore been the focus of our subsequent work. Efforts have progressed on developing a combined structural and statistical texture analysis algorithm. Methods have been developed for characterizing the unit cell which gives the basic repeated texture pattern. Combined with a study of the unit cell has been the development of a mosaic model for textures that utilizes tiling theory. Tiling theory provides the basic mathematical structure required for analysis. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 23, 1980
Accession Number
ADA086656

Entities

People

  • Charles A. Harlow
  • Richard W. Conners

Organizations

  • Louisiana State University

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Cell Size
  • Computer Programs
  • Computers
  • Databases
  • Electrical Engineering
  • Engineering
  • Engineers
  • Image Processing
  • Image Segmentation
  • Remote Sensing
  • Software Development
  • Stationary
  • Statistical Analysis
  • Students
  • Translations

Readers

  • Computer Vision.
  • Graph Algorithms and Convex Optimization.
  • Theoretical Analysis.