A Bayesian corner detector

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 r...

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Bibliographic Details
Main Authors: Xining Zhang, Haralick, R.M., Ramesh, V., Bedekar, A.S., Phillips, I.
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Computer science
Detection algorithms
Detectors
Image edge detection
Image segmentation
Intelligent systems
Laboratories
Software engineering
Zirconium
Online Access:Request full text
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Description
Summary: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.< >
DOI:10.1109/ICIP.1994.413576