DocumentCode
3082821
Title
Edge detector evaluation using empirical ROC curves
Author
Bowyer, Kevin ; Kranenburg, Christine ; Dougherty, Sean
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
Volume
1
fYear
1999
fDate
1999
Abstract
A method is demonstrated to evaluate edge detector performance using receiver operating characteristic curves. It involves matching edges to manually specified ground truth to count true positive and false positive detections. Edge detector parameter settings are trained and tested on different images, and aggregate test ROC curves presented for two sets of 10 images. The performance of eight different edge detectors is compared. The Canny and Heitger detectors provide the best performance
Keywords
computational geometry; computer vision; edge detection; edge detector evaluation; empirical ROC curves; parameter settings; receiver operating characteristic curves; Computer science; Computer vision; Detectors; Humans; Hysteresis; Image edge detection; Image sampling; Materials testing; Packaging; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location
Fort Collins, CO
ISSN
1063-6919
Print_ISBN
0-7695-0149-4
Type
conf
DOI
10.1109/CVPR.1999.786963
Filename
786963
Link To Document