DocumentCode :
854913
Title :
Performance assessment of feature detection algorithms: a methodology and case study on corner detectors
Author :
Rockett, Peter I.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, UK
Volume :
12
Issue :
12
fYear :
2003
Firstpage :
1668
Lastpage :
1676
Abstract :
We describe a generic methodology for evaluating the labeling performance of feature detectors. We describe a method for generating a test set and apply the methodology to the performance assessment of the three well-known corner detectors of L. Kitchen and A. Rosenfeld (1982), of K. Paler et al. (1984), and of C. Harris and M. Stephens (1988). The labeling deficiencies of each of these detectors is related to their discrimination ability between corners and various of the features which comprise the class of noncorners.
Keywords :
feature extraction; image processing; software performance evaluation; corner detectors; discrimination ability; feature detection algorithms; labeling performance; Appraisal; Computer aided software engineering; Computer vision; Detection algorithms; Detectors; Helium; Image edge detection; Labeling; Robustness; Testing;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2003.818041
Filename :
1257402
Link To Document :
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