Image Contouring and Comparing. AIM-199
Abstract/Contents
- Abstract
A contour image representation is stated and an algorithm for
converting a set of digital television images into this
representation is explained. The algorithm consists of five steps:
digital image thresholding, binary image contouring, polygon
nesting, polygon smoothing, and polygon comparing. An implementation
of the algorithm is the main routine of a program called CRE;
auxiliary routines provide cart and turn table control, TV camera
input, image display, and xerox printer output. A serendip
application of CRE to type font construction is explained. Details
about the intended application of CRE to the perception of physical
objects will appear in sequels to this paper.
Description
Type of resource | text |
---|---|
Form | memorandums |
Extent | 1 text file |
Place | Stanford (Calif.) |
Date created | October 1973 |
Language | English |
Digital origin | reformatted digital |
Creators/Contributors
Author | Baumgart, Bruce G. |
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Subjects
Subject | Stanford Artificial Intelligence Laboratory |
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Subject | Memo (Stanford Artificial Intelligence Laboratory) |
Subject | Artificial intelligence |
Genre | Memorandums |
Bibliographic information
Finding Aid | |
---|---|
Memo | AIM-199 |
Location | https://purl.stanford.edu/fb647wy7947 |
Location | SC1041 |
Repository | Stanford University. Libraries. Department of Special Collections and University Archives |
Access conditions
- Use and reproduction
- The materials are open for research use and may be used freely for non-commercial purposes with an attribution. For commercial permission requests, please contact the Stanford University Archives (universityarchives@stanford.edu).
- Copyright
- Copyright © The Board of Trustees of the Leland Stanford Junior University. All rights reserved.
Collection
Stanford Artificial Intelligence Laboratory records, 1963-2009
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