DocumentCode
1175851
Title
The transformation of photographic images into stroke arrays
Author
Ramer, E. Urs
Volume
22
Issue
4
fYear
1975
fDate
4/1/1975 12:00:00 AM
Firstpage
363
Lastpage
374
Abstract
A procedure for extracting edge information from real photographs of both flat-faced and curved three-dimensional objects is described. Initially the photograph is subjected to a nonlinear transformation which is based on an edge detection operator by Hueckel. The gray-value variations of a photograph are transformed into short vectors (strokes), which are arranged in a two-dimensional array that has substantially fewer entries than the original image array. The display of a stroke array provides "outline" information that is highly intelligible to the human eye. Using graph searching techniques, strokes are assembled into structures called streaks. Streaks are digital curves which exhibit cellular as well as polygonal properties. The representation of streaks as well as other data can be marked directly in the stroke array, thus making the array usable as an associative memory. This greatly facilitates further processing.
Keywords
Digital networks and systems; Image analysis; Assembly; Associative memory; Data mining; Displays; Humans; Image analysis; Image edge detection; Layout; Optical distortion; Shape;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/TCS.1975.1084044
Filename
1084044
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