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The Scientific World Journal
Volume 2014, Article ID 294104, 13 pages
http://dx.doi.org/10.1155/2014/294104
Research Article

Medical Image Visual Appearance Improvement Using Bihistogram Bezier Curve Contrast Enhancement: Data from the Osteoarthritis Initiative

1Department of Biotechnology and Medical Engineering, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
2Department of Biotechnology and Medical Engineering, Medical Device and Technology Group, Material and Manufacturing Research Alliance, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
3Department of Radiology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
4Medical Device and Technology Group, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
5Department of Control Engineering and Mechatronic Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
6Institute of Advanced Photonics Science, Nanotechnology Research Alliance, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia
7Institute of Advanced Photonics Science, Nanotechnology Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
8Department of Physics, Advanced Studies Center, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand

Received 11 February 2014; Accepted 19 April 2014; Published 20 May 2014

Academic Editor: Ngaiming Kwok

Copyright © 2014 Hong-Seng Gan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Rasyiqah Annani Mohd Rosidi, Aida Syafiqah Ahmad Khaizi, Hong-Seng Gan, and Hafiz Basarudin, “Boundary correction in semi-automated segmentation using scribbling method,” 2017 International Conference on Engineering Technology and Technopreneurship (ICE2T), pp. 1–4, . View at Publisher · View at Google Scholar
  • Akash Gandhamal, Sanjay Talbar, Suhas Gajre, Ahmad Fadzil Mohd Hani, and Dileep Kumar, “A generalized contrast enhancement approach for knee MR images,” 2016 International Conference on Signal and Information Processing (IConSIP), pp. 1–6, . View at Publisher · View at Google Scholar
  • Hong-Seng Gan, Tian-Swee Tan, Mohammed Rafiq Bin Abdul Kadir, Ahmad Helmy Abdul Karim, Khairil Amir Sayuti, Liang-Xuan Wong, and Weng-Kit Tham, “Medical image contrast enhancement using spline concept: Data from the osteoarthritis initiative,” Journal of Medical Imaging and Health Informatics, vol. 4, no. 4, pp. 511–520, 2014. View at Publisher · View at Google Scholar
  • Ahmet Yardimci, and Buket Simsek, “Using Bezier curves in medical applications,” Filomat, vol. 30, no. 4, pp. 937–943, 2016. View at Publisher · View at Google Scholar
  • Akash Gandhamal, Sanjay Talbar, Suhas Gajre, Ahmad Fadzil M. Hani, and Dileep Kumar, “Local Gray Level S-Curve Transformation − A Generalized Contrast Enhancement Technique for Medical Images,” Computers in Biology and Medicine, 2017. View at Publisher · View at Google Scholar
  • Leonardo Rundo, Andrea Tangherloni, Marco S. Nobile, Carmelo Militello, Daniela Besozzi, Giancarlo Mauri, and Paolo Cazzaniga, “MedGA: A novel evolutionary method for image enhancement in medical imaging systems,” Expert Systems with Applications, 2018. View at Publisher · View at Google Scholar