Computing Search Time in Visual Images Using the Fuzzy Logic Approach

Abstract

The mean search time of observers looking for targets in visual scenes with clutter is computed using the Fuzzy Logic Approach (FLA). The FLA is presented by the authors as a robust method for the computation of search times and or probabilities of detection for signature management decisions in any part of the electromagnetic or acoustic spectrum. The Mamdani/Assilian and Sugeno models have been investigated and are compared. A 44 visual image data set from TNO is used to build and validate the fuzzy logic model for search time. The input parameters are the: local luminance range, aspect, width, wavelet edge points and the single output is search time. The Mamdani/Assilian model gave predicted mean search times from data not used in the training set that had a 0.957 correlation to the field search times. The data set is reduced using a clustering method then modeled using the FLA and results are compared to experiment.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADP010543

Entities

People

  • Abdelakrim Elgarhi
  • Euijung Sohn
  • Harpreet Singh
  • Thomas J. Meitzler

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Clustering
  • Computational Processes
  • Data Analysis
  • Data Sets
  • Detection
  • Detectors
  • Fuzzy Logic
  • Identification Systems
  • Information Systems
  • Perception
  • Probability
  • Target Acquisition
  • Target Detection
  • Wavelet Transforms

Readers

  • Computational Modeling and Simulation
  • Computer Engineering
  • Vision Science/Vision Psychology/Cognitive Neuroscience.