Performance evaluation using mandelbrot images for image registration algorithms

Koichi Ito; Ayako Suzuki; Sei Nagashima; Takafumi Aoki

doi:10.1109/ICIP.2009.5413618

Performance evaluation using mandelbrot images for image registration algorithms

Koichi Ito, Ayako Suzuki, Sei Nagashima, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

High-accuracy image registration is an important fundamental task in many fields, such as image sensing, image/video processing, computer vision, etc. In order to evaluate accuracy of image registration algorithms, the reference images transformed with known parameters have to be used. Reference images taken by a camera may include human errors, while reference images generated by a computer may require pixel interpolation in the process. To address these problems, this paper proposes a performance evaluation method using the Mandelbrot set which is one of the famous fractals. Experimental evaluation shows effectiveness of the proposed method.

Original language	English
Title of host publication	2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
Publisher	IEEE Computer Society
Pages	4393-4396
Number of pages	4
ISBN (Print)	9781424456543
DOIs	https://doi.org/10.1109/ICIP.2009.5413618
Publication status	Published - 2009
Event	2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt Duration: 2009 Nov 7 → 2009 Nov 10

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2009 IEEE International Conference on Image Processing, ICIP 2009
Country/Territory	Egypt
City	Cairo
Period	09/11/7 → 09/11/10

Keywords

Image matching
Image registration
Mandelbrot set
Performance evaluation
Phase-only correlation

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.2009.5413618

Cite this

Ito, K., Suzuki, A., Nagashima, S., & Aoki, T. (2009). Performance evaluation using mandelbrot images for image registration algorithms. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 4393-4396). [5413618] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5413618

Performance evaluation using mandelbrot images for image registration algorithms. / Ito, Koichi; Suzuki, Ayako; Nagashima, Sei et al.
2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, 2009. p. 4393-4396 5413618 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ito, K, Suzuki, A, Nagashima, S & Aoki, T 2009, Performance evaluation using mandelbrot images for image registration algorithms. in 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings., 5413618, Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 4393-4396, 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, Egypt, 09/11/7. https://doi.org/10.1109/ICIP.2009.5413618

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title = "Performance evaluation using mandelbrot images for image registration algorithms",

abstract = "High-accuracy image registration is an important fundamental task in many fields, such as image sensing, image/video processing, computer vision, etc. In order to evaluate accuracy of image registration algorithms, the reference images transformed with known parameters have to be used. Reference images taken by a camera may include human errors, while reference images generated by a computer may require pixel interpolation in the process. To address these problems, this paper proposes a performance evaluation method using the Mandelbrot set which is one of the famous fractals. Experimental evaluation shows effectiveness of the proposed method.",

keywords = "Image matching, Image registration, Mandelbrot set, Performance evaluation, Phase-only correlation",

author = "Koichi Ito and Ayako Suzuki and Sei Nagashima and Takafumi Aoki",

year = "2009",

doi = "10.1109/ICIP.2009.5413618",

language = "English",

isbn = "9781424456543",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

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AB - High-accuracy image registration is an important fundamental task in many fields, such as image sensing, image/video processing, computer vision, etc. In order to evaluate accuracy of image registration algorithms, the reference images transformed with known parameters have to be used. Reference images taken by a camera may include human errors, while reference images generated by a computer may require pixel interpolation in the process. To address these problems, this paper proposes a performance evaluation method using the Mandelbrot set which is one of the famous fractals. Experimental evaluation shows effectiveness of the proposed method.

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KW - Performance evaluation

KW - Phase-only correlation

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Performance evaluation using mandelbrot images for image registration algorithms

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Keywords

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