A fast template matching method with rotation invariance by combining the circular projection transform process and bounded partial correlation

Wen Chia Lee, Chin-Hsing Chen

研究成果: Article同行評審

13 引文 斯高帕斯(Scopus)

摘要

This letter proposes an algorithm for rotation invariance template matching by combining the circular projection transformation (CPT) and the bounded partial correlation (BPC). CPT is a method that involves rotation invariance for template matching, but calculating the CPT values from the spatial domain is time-consuming. We use the frequency domain approach to reduce the computation time of CPT and the BPC to rapidly skip the positions that dissimilate to a template image. Experiments demonstrated that the proposed algorithm can considerably accelerate the template matching process when scene rotations are present.

原文English
文章編號6266693
頁(從 - 到)737-740
頁數4
期刊IEEE Signal Processing Letters
19
發行號11
DOIs
出版狀態Published - 2012 九月 24

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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