DocumentCode
3082842
Title
Comparison of edge detectors using an object recognition task
Author
Shin, M.C. ; Goldgof, D. ; Bowyer, K.W.
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
Volume
1
fYear
1999
fDate
23-25 June 1999
Firstpage
360
Abstract
This paper presents a methodology and results of evaluating edge detection algorithms using an object recognition task. A dataset consisting of 37 real images with 5 different jeep-like vehicles is used. Five edge detectors are compared using ROC curve analysis. The Heitger detector gives the best results. The work is being extended to include more images and a train-and-test style evaluation.
Keywords
computational geometry; computer vision; edge detection; object recognition; Heitger detector; ROC curve analysis; dataset; edge detectors; jeep-like vehicles; object recognition task; real images; train-and-test style evaluation; Automotive engineering; Computer science; Detectors; Image edge detection; Land vehicles; Layout; Object detection; Object recognition; Road vehicles; Sliding mode control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location
Fort Collins, CO, USA
ISSN
1063-6919
Print_ISBN
0-7695-0149-4
Type
conf
DOI
10.1109/CVPR.1999.786964
Filename
786964
Link To Document