Contour-Based Binary Image Orientation Detection by Orientation Context and Roulette Distance-Reference-Cited by-同舟云学术

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Contour-Based Binary Image Orientation Detection by Orientation Context and Roulette Distance

Published:2016 Issue:2 Volume:E99.A Page:621-633
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

ZHOU Jian¹,MATSUMARU Takafumi¹

Affiliation:

1. Graduate School of Information, Production and System, Waseda University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E99.A/2/E99.A_621/_pdf

Reference21 articles.

1. [1] E. El-Sayed, R.F. Abdel-Kader, and R.M. Ramadan, “Orientation of multiple principal axes shapes using efficient averaging method,” Proc. 10th IEEE International Symposium on Signal Processing and Information Technology, pp.377-381, 2010.

2. [2] K. Rohr, M. Fornefett, and H.S. Stiehl, “Spline-based elastic image registration: Integration of landmark errors and orientation attributes,” Comput. Vis. Image. Und., vol.90, no.2, pp.153-168, May 2003.

3. [3] Y.M. Wang and H. Zhang, “Detecting image orientation based on low-level visual content,” Comput. Vis. Image. Und., vol.93, no.3, pp.328-346, 2004.

4. [4] J.-C. Lin, “Universal principal axes: an easy-to-construct tool useful in defining shape orientations for almost every kind of shape,” Pattern Recogn., vol.26, no.4, pp.485-493, 1993.

5. [5] R.S. Caprari, “Algorithm for text page up/down orientation determination,” Pattern Recogn. Lett., vol.21, no.4, pp.311-317, 2000.

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