Annual Report of the Research Grant No. N00014-92-J-6003 (Louisiana State Univ)

Abstract

Our research in the past year focused on the design and development of Histogram-Based Morphological Edge Detector (HMED) to extract edges from the infrared images obtained from the Advanced Very High Resolution Radiometer (AVHRR). The motivation of this research stems from our previous experiences with the edge detectors. For instance, the conventional edge detectors are very sensitive to edge fine structure which makes it difficult to distinguish the weak gradients that are useful in this application from noise. Image analysis techniques use the histogram for operations such as thresholding and edge extraction in a local neighborhood in the image. The histogram is a popular tool used in image processing and image analysis. It is used for edge detection, thresholding, texture feature extraction and other related problems

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1994
Accession Number
ADA284458

Entities

People

  • S. Iyengar
  • Sankar Krishnamurthy

Organizations

  • Louisiana State University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Engineered Resilient Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Change Detection
  • Computer Science
  • Computer Vision
  • Detection
  • Detectors
  • Earth Sciences
  • Feature Extraction
  • Gray Scale
  • Image Processing
  • Jet Propulsion
  • Oceanography
  • Pattern Recognition
  • Remote Sensing
  • Sensor Networks
  • Synthetic Aperture Radar

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks