Performance evaluation using mandelbrot images for images registration algorithms

Authors:
Koichi Ito;Ayako Suzuki;Sei Nagashima;Takafumi Aoki
Affiliations:
Graduate School of Information Sciences, Tohoku University, Sendai-shi, Japan;Graduate School of Information Sciences, Tohoku University, Sendai-shi, Japan;Yamatake Corporation, Fujisawa-shi, Japan;Graduate School of Information Sciences, Tohoku University, Sendai-shi, Japan
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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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.