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
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