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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location :
Fort Collins, CO, USA
Print_ISBN :
0-7695-0149-4
DOI :
10.1109/CVPR.1999.786964
