Thresholding Using the Isodata Clustering Algorithm

Abstract

A recently proposed iterative thresholding scheme turns out to be essentially the well-known ISODATA clustering algorithm, applied to a one- dimensional feature space (the sole feature of a pixel is its gray level). We prove that in one dimension, ISODATA always converges. We also apply it to requantize images into specified numbers of gray levels.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA076064

Entities

People

  • Flavio R. Velasco

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Clustering
  • Cybernetics
  • Data Compression
  • Discrimination
  • Histograms
  • Intervals
  • Iterations
  • Mathematics
  • Night Vision
  • Observation
  • Sequences
  • Universities

Fields of Study

  • Computer science
  • Physics

Readers

  • Image Processing and Computer Vision.
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.

Technology Areas

  • Space
  • Space - Space Objects