Color medical image enhancement based on adaptive equalization of intensity numbers matrix histogram

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• 作者：Ju-Ping Gu ; Liang Hua ; Xiao Wu ; Hui Yang…
• 关键词：Youag ; Helmhotz (Y ; H) color space ; adaptive histogram equalization ; medical image enhancement ; image processing ; color space transformation
• 刊名：International Journal of Automation and Computing
• 出版年：2015
• 出版时间：October 2015
• 年：2015
• 卷：12
• 期：5
• 页码：551-558
• 全文大小：1,949 KB
• 参考文献：[1]E. Blottal, A. Bouchet, V. Ballarinl, J. Pastore. Enhancement of medical images in HSI color space. Journal of Physics: Conference Series, vol. 332, no. 1, pp. 12鈥?1, 2011.
  [2]Y. D. Yu, H. B. Xie, L. Qi. Study on the enhancement method of medical endoscope images. Chinese Journal of Biomedical Engineering, vol. 16, no. 1, pp. 31鈥?4, 1997.
  [3]X. W. Wang, L. S. Shen, D. H. Liu. A new algorithm for color medical image enhancement. Chinese Journal of Biomedical Engineering, vol. 23, no. 1, pp. 5鈥?, 4, 2004. (in Chinese)
  [4]L. M. Liu. Research of color X-ray medical image enhancement in HSV space. Journal of Yunnan Normal University, vol. 31, no. 5, pp. 56鈥?0, 2011.
  [5]G. Schaefer, M. I. Rajab, M. E. Celebi, H. Iyatomi. Colour and contrast enhancement for improved skin lesion segmentation. Computerized Medical Imaging and Graphics, vol. 35, no. 2, pp. 99鈥?04, 2011.CrossRef
  [6]B. P. Li, Max Q. H. Meng. Wireless capsule endoscopy images enhancement via adaptive contrast diffusion. Journal of Visual Communication and Image Representation, vol. 23, no. 1, pp. 222鈥?28, 2012.CrossRef
  [7]C. J. Zhang, B. Yang. A novel nonlinear algorithm for typhoon cloud image enhancement. International Journal of Automation and Computing, vol. 8, no. 2, pp. 161鈥?69, 2011.CrossRef
  [8]F. Guo, J. Tang, Z. X. Cai. Image dehazing based on haziness analysis. International Journal of Automation and Computing, vol. 11, no. 1, pp. 78鈥?6, 2014.CrossRef
  [9]W. M. Cao, F. Hao. Biomimetic pattern recognition based on the Young-helmholtz model of multispectral image. In Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence, IEEE, Shanghai, China, vol. 11, pp. 398鈥?02, 2009.
  [10]L. J. Ding, L. Hua, H. Feng. Image compression method for singular value decomposition based on Y-H model. Computer Engineering, vol. 37, no. 23, pp. 203鈥?04, 210, 2011.
  [11]L. Hua, H. Feng, L. J. Ding, J. P. Gu, X. Wu. Method of color medical image enhancement based on color space conversion. International Journal of Digital Content Technology and Its Applications, vol. 7, no. 1, pp. 687鈥?95, 2013.CrossRef
  [12]L. Hua, Z. T. Zhou, H. Feng, L. J. Ding. A new color medical image enhancement method. In IET International Conference on Information Science and Control Engineering, IEEE, Shenzhen, China, pp. 1鈥?, 2012.
  [13]L. Hua, Z. T. Zhou, J. Yang, H. Feng, L. J. Ding, J. P. Gu. Fuzzy enhancement method for color medical images based on color space conversion. Applied Mechanics and Materials, vol. 380鈥?84, pp. 3706鈥?709, 2013.CrossRef
  [14]J. S. Lee. Digital image enhancement and noise filtering by use of local statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-2, no. 2, pp. 165鈥?68, 1980.CrossRef
  [15]S. G. Wei. The Research of Medical Ultrasound Image Processing, Master dissertation, Harbin Engineering University, China, 2005. (in Chinese)
  [16]G. Song, Y. H. Liu. A adaptive histogram equalization method with enhancing the details. Journal of Shandong University of Technology, vol. 29, no. 1, pp. 81鈥?5, 1999. (in Chinese)
  [17]Z. T. Zhou. Research on the Enhancement and Recognition Technology of Color Medical Image, Master dissertation, Nantong University, China, 2013. (in Chinese)
  
• 作者单位：Ju-Ping Gu (1)
  Liang Hua (1)
  Xiao Wu (1)
  Hui Yang (1)
  Zhen-Tao Zhou (1)
  
  1. Department of Electrical Engineering, Nantong University, Nantong, 226019, China
  
• 刊物类别：Engineering
• 刊物主题：Automation and Robotics
  Computer Applications
  Computer-Aided Engineering and Design
  Chinese Library of Science
  
• 出版者：Institute of Automation, Chinese Academy of Sciences, co-published with Springer-Verlag GmbH
• ISSN：1751-8520

文摘

The enhancement technique for color medical images is conductive to improve the resolution and accuracy of the original image. A new enhancement method combining the Young-Helmholtz (Y-H) transformation with the adaptive equalization of intensity numbers matrix histogram is proposed in this paper. The adaptive histogram equalization method is applied to strengthen the details, enhance the contrast, and suppress the noise of the original image effectively. The enhanced image can be displayed in the red-greenblue (RGB) color space through inverse Y-H transformation with the same hue and saturation. The experiment results demonstrate that the method has the enhancement effect with low computational complexity, which provides the foundation for the medical diagnosis and further processing of medical images. Keywords Youag-Helmhotz (Y-H) color space adaptive histogram equalization medical image enhancement image processing color space transformation