Abstract
Purpose. Most existing methods for determining location of interest point in image detection are, in our opinion, still deficient in precision. We present a phase congruency approach that uses log-Gabor wavelets and can improve such precision considerably because phase congruency is a dimensionless measure that remains invariant when changes occur in brightness and contrast. In the full paper, we explain our phase congruency approach in much detail; here we just list the three topics discussed in the detailed explanation; (1) log-Gabor filter; (2) phase congruency, whose subtopics are phase congruency of 1D signals (2.1), phase congruency of 2D signals(2.2); the subsubtopics of subtopic 2.2 are design of 2D filters (2.2.1), phase congruency of 1D features (2.2.2) and phase congruency of 2D features (interest points) (2.2.3); (3) flow chart of phase congruency. Experimental data for synthetic and real images are presented respectively in Fig. 3 and Fig. 4, each with 4 subfigures; the 8 subfigures show preliminarily that different kinds of interest points can be detected and located with good precision; thus the proposed method can be applied over wide classes of images.
Original language | English |
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Pages (from-to) | 199-204 |
Number of pages | 6 |
Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
Volume | 24 |
Issue number | 2 |
State | Published - Apr 2006 |
Keywords
- Interest point
- Log-Gabor filter
- Phase congruency