Image Processing Techniques for Acoustic Images

Abstract

The primary goal of this research is to test the effectiveness of various image processing techniques applied to acoustic images generated in MATLAB. The simulated acoustic images have the same characteristics as those generated by a computer model of a high resolution imaging sonar. Edge Detection and Segmentation are the two image processing techniques discussed in this study. The two methods tested are a modified version of the Kalman filtering and median filtering.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA247303

Entities

People

  • Brian P. Murphy

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Images
  • Algorithms
  • Background Noise
  • Change Detection
  • Classification
  • Computer Vision
  • Computers
  • Detection
  • Filters
  • Filtration
  • High Resolution
  • Image Processing
  • Image Recognition
  • Images
  • Kalman Filtering
  • Kalman Filters
  • Random Variables

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Medical Imaging.
  • Radar Systems Engineering.