DocumentCode :
1300836
Title :
Detecting edge segments
Author :
Delp, Edward J. ; Chu, C.H.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Issue :
1
fYear :
1985
Firstpage :
144
Lastpage :
152
Abstract :
The performances of three classes of edge operators are evaluated. The three are conventional 3×3 operators with a connectivity test, sequential edge detectors using both edge strength and direction information, and edge detectors using large masks. Implementations of the sequential edge operators using both the edge strength and direction information to detect edge segments with smoothly varying edge direction and physical length are discussed. Results of applying these edge detectors to real-world images are also presented.
Keywords :
picture processing; edge operators; edge segment detection; edge strength; image processing; picture processing; sequential edge detectors; Cybernetics; Detectors; Error probability; Image edge detection; Image segmentation; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/TSMC.1985.6313403
Filename :
6313403
Link To Document :
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