Search this article
Abstract
We present a new method for automatically detecting circular objects in images: we detect an osculating circle to an elliptic arc using a Hough transform, iteratively deforming it into an ellipse, removing outlier pixels, and searching for a separate edge. The voting space is restricted to one and two dimensions for efficiency, and special weighting schemes are introduced to enhance the accuracy. We demonstrate the effectiveness of our method using real images. Finally, we apply our method to the calibration of a turntable for 3-D object shape reconstruction.
Journal
-
- Memoirs of the Faculty of Engineering, Okayama University
-
Memoirs of the Faculty of Engineering, Okayama University 36 (1), 107-116, 2001-12
Faculty of Engineering, Okayama University
- Tweet
Details 詳細情報について
-
- CRID
- 1390009224822822784
-
- NII Article ID
- 80012855284
-
- NII Book ID
- AA10699856
-
- ISSN
- 04750071
-
- DOI
- 10.18926/47004
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- IRDB
- CiNii Articles