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
Link To Document :
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