Use of Quadtrees for Edge Enhancement

Abstract

A quadtree approximation of a 2 to the nth power by 2 to the nth power gray level image tends to enhance edges that are strong in the original image and suppress those that are weak. An edge detector applied to such an approximation produces edges that are in general stronger than those obtainable from the original, though slightly displaced. Methods of combining the edge maps obtained from the original image and its quadtree approximation are examined. It is shown that the choice of a suitable combination rule results in an edge map which is superior to that obtainable by conventional means.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1980
Accession Number
ADA090242

Entities

People

  • Sanjay Ranade

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Change Detection
  • Computer Science
  • Computer Vision
  • Computers
  • Detection
  • Detectors
  • Histograms
  • Image Compression
  • Image Processing
  • Image Segmentation
  • Iterations
  • Night Vision
  • Pattern Recognition
  • Quadrants
  • Recognition
  • Universities

Fields of Study

  • Physics

Readers

  • Graph Algorithms and Convex Optimization.
  • Image Processing and Computer Vision.