Computational Techniques in Visual Systems. Part II. Segmenting Static Scenes.

Abstract

In the first part of this paper, 'The Overall Design', the authors looked at their evolving understanding of computational techniques--both in analyzing the visual system of animals, and in building computer vision systems. The authors divided the computations between low-level systems and high-level systems, and sketched the interaction between the two types of system. Here, in part 2, the authors focus upon specific tasks of the low-level systems--feature extraction and segmentation, as well as their competition and cooperation. The authors continue to emphasize an integrated system design, with interaction of multiple processes resolving ambiguous and noisy data. A survey of processes which operate on a single static, but colored, image show how segmentation can proceed via boundary formation, and by formation of regions on the basis of color and texture cues. Extensive experimental data are given on the results of applying segmentation techniques.

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1976
Accession Number
ADA028330

Entities

People

  • Edward M. Riseman
  • Michael A. Arbib

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Computer Programs
  • Computer Vision
  • Experimental Data
  • Feature Extraction
  • Integrated Systems
  • Machine Perception

Readers

  • Computer Vision.
  • Theoretical Analysis.

Technology Areas

  • AI & ML