Automatic object identification irrespective of geometric changes
Optical Engineering, ISSN: 0091-3286, Vol: 42, Issue: 2, Page: 551-559
2003
- 16Citations
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
We present a new approach to achieve object identification based on the use of phase correlation in the scale transform domain for automatic character recognition. The results are extensible to other fields. The proposed method is shown to be invariant to translation, rotation, and scale. We extended the methodology used by Casasent and Psaltis by considering a more efficient digital scale transform as an alternative to the Fourier-Mellin techniques. To improve the discriminative power, we introduce a new template matching based on the use of a modified weighted log-polar spectrum. The correlations have been calculated by using phase-only filters (POF) in a digital system. The proposed method is able to provide discrimination between scale and rotation in images to facilitate image registration. © 2003 Society of Photo-Optical Instrumentation Engineers.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0037303622&origin=inward; http://dx.doi.org/10.1117/1.1531189; http://opticalengineering.spiedigitallibrary.org/article.aspx?doi=10.1117/1.1531189; https://dx.doi.org/10.1117/1.1531189; https://www.spiedigitallibrary.org/access-suspended
SPIE-Intl Soc Optical Eng
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