DocumentCode
2071796
Title
A Bayesian corner detector
Author
Zhang, Xining ; Haralick, Robert M. ; Ramesh, Visvanathan ; Bedekar, Anand S. ; Phillips, Ihsin
Author_Institution
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Volume
2
fYear
1994
fDate
13-16 Nov 1994
Firstpage
282
Abstract
A corner is modelled as the intersection of two lines. A corner point is that point on an input digital arc whose a posteriori probability of being a corner is the maximum among all the points on the arc. The performance of the corner detector is characterized by its false alarm rate, misdetection rate, and the corner location error all as a function of the noise variance, the included corner angle, and the arc length. Theoretical expressions for the quantities compare well with experimental results
Keywords
Bayes methods; edge detection; probability; Bayesian corner detector; a posteriori probability; arc length; corner location error; corner point; experimental results; false alarm rate; included corner angle; input digital arc; misdetection rate; noise variance; Bayesian methods; Computer science; Detection algorithms; Detectors; Image edge detection; Image segmentation; Intelligent systems; Laboratories; Software engineering; Zirconium;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413576
Filename
413576
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