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
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413576
