Computer Vision
Abstract
Over the past 25 years, much of the work on applications of pattern recognition, and a significant fraction of the work in artificial intelligence, has dealt with the analysis and in artificial intelligence, has dealt with the analysis and interpretation of images. This subject has been variously known as pictorial pattern recognition, image analysis, scene analysis, image understanding, and computer vision. Its applications include document processing (character recognition, etc.), microscopy, radiology, industrial automation (inspection, robot vision), remote sensing, navigation, and reconaissance, to name only the major areas. Many ad hoc techniques for analyzing images have been developed, so that a large assortment of tools is now available for solving practical problems in this field. Most important, during the past few years the field has begun to develop a scientific basis. This paper outlines the major steps in the computer vision process, and summarizes the state of the art with respect to each of these steps.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1982
- Accession Number
- ADA128575
Entities
People
- Azriel Rosenfeld
Organizations
- University of Maryland