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Movement invariants-based algorithm for medical image tilt correction

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Abstract

In this paper, the edge detection for a medical image is performed based on Sobel operator, and the bounding box is obtained, by which the effective medical sub-image is extracted. Then, the centroid and the normalized central moments of the medical sub-image are calculated, and the rotation angle α is obtained by minimizing the second-order central moment based on its rotation invariance. Finally, the whole medical image is rotated around the centroid by −α to correct the tilted image. Furthermore, inspired by the uniformity degree of the image, the rotation angle α is revised, which achieves a better correction effect and performance. The experimental results show that the proposed algorithms are fairly reliable and accurate for the determination of tilt angles, and are practical and effective tilt correction techniques.

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Authors and Affiliations

  1. Institute of Biomedical Engineering, School of Info-physics and Geomatics Engineering, Central South University, Changsha, 410083, PRC

    Mei-Sen Pan, Jing-Tian Tang & Xiao-Li Yang

  2. Department of Computer Science and Technology, Hunan University of Arts and Science, Changde, 415000, PRC

    Mei-Sen Pan

Authors
  1. Mei-Sen Pan
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  2. Jing-Tian Tang
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  3. Xiao-Li Yang
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Corresponding author

Correspondence to Mei-Sen Pan.

Additional information

This work was supported by Foundation of 11th Five-year Plan for Key Construction Academic Subject (Optics) of Hunan Province, PRC and Scientific Research Fund of Hunan Provincial Education Department, PRC (No. 06C581).

Mei-Sen Pan graduated from Hunan Normal University, PRC in 1995. He received the M. Sc. degree from Huazhong University of Science and Technology, PRC in 2005. He is currently a professor in Hunan University of Arts and Science, and also a Ph.D. candidate in Central South University, PRC.

His research interests include biomedical image processing, information fusion, artificial neural network, and software engineering.

Jing-Tian Tang received the B. Sc. and M. Sc. degrees in earth sciences from Changchun University, PRC in 1986 and 1988, respectively. He received the Ph.D. degree from Central South University, PRC in 1992. He is currently a professor of Central South University.

His research interests include geophysical inverse method and theory, and medical signal processing.

Xiao-Li Yang graduated from Hunan Medical Specialty High School, PRC in 2001. She received the M. Sc. degree in biomedical technology from Central South University, PRC in 2008. She is currently a Ph.D. candidate in Central South University.

Her research interests include biomedical image and signal processing.

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Pan, MS., Tang, JT. & Yang, XL. Movement invariants-based algorithm for medical image tilt correction. Int. J. Autom. Comput. 7, 543–549 (2010). https://doi.org/10.1007/s11633-010-0538-0

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  • DOI: https://doi.org/10.1007/s11633-010-0538-0

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