Volume 8 Number 2
May 2011
Article Contents
Chang-Jiang Zhang and Bo Yang. A Novel Nonlinear Algorithm for Typhoon Cloud Image Enhancement. International Journal of Automation and Computing, vol. 8, no. 2, pp. 161-169, 2011. doi: 10.1007/s11633-011-0569-1
Cite as: Chang-Jiang Zhang and Bo Yang. A Novel Nonlinear Algorithm for Typhoon Cloud Image Enhancement. International Journal of Automation and Computing, vol. 8, no. 2, pp. 161-169, 2011. doi: 10.1007/s11633-011-0569-1

A Novel Nonlinear Algorithm for Typhoon Cloud Image Enhancement

  • Received: 2010-09-03
Fund Project:

This work was supported by National Natural Science Foundation of China (No.40805048, No.11026226), Typhoon Research Foundation of Shanghai Typhoon Institute/China Meteorological Administration (No.2008ST01), Research Foundation of State Key Laboratory of Remote Sensing Science, Jointly sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University (No.2009KFJJ013), Research Foundation of State Key Laboratory of Severe Weather/Chinese Academy of Meteorological Sciences (No.2008LASW-B03).

  • A novel nonlinear gray transform method is proposed to enhance the contrast of a typhoon cloud image. Generally, the typhoon cloud image obtained by a satellite cannot be directly used to make an accurate prediction of the typhoon's center or intensity because the contrast of the received typhoon cloud image may be bad. Our aim is to extrude the typhoon's eye in the typhoon cloud image. A normalized arc-tangent transformation operation is designed to enhance global contrast of the typhoon cloud image. Differential evolution algorithm is used to choose the optimal nonlinear transform parameter. Finally, geodesic activity contour model is used to extract the typhoon's eye to verify the performance of the proposed method. Experimental results show that the proposed method can efficiently enhance the global contrast of the typhoon cloud image while greatly extruding the typhoon's eye.
  • 加载中
  • [1] J. Albertz, K. Zelianeos. Enhancement of satellite image data by data cumulation. ISPRS Journal of Photogrammetry and Remote Sensing, vol.45, no.3, pp.161-174, 1990.
    [2] K. G. Karantzalos. Combining anisotropic diffusion and alternating sequential filtering for satellite image enhancement and smoothing. In Proceedings of SPIE --- Image and Signal Processing for Remote Sensing IX, Barcelona, Spain, vol.5238, pp.461-468, 2004.
    [3] B. Attachoo, P. Pattanasethanon. A new approach for colored satellite image enhancement. In Proceedings of IEEE International Conference on Robotics and Biomimetics, IEEE, Bangkok, Thailand, pp.1365-1370, 2009.
    [4] C. J. Zhang, J. Lu. Satellite cloud image enhancement by genetic algorithm with fuzzy technique. In Proceedings of International Conference on New Trends in Information and Service Science, Beijing, PRC, pp.1090-1095, 2009.
    [5] B. P. Pfaff, D. Baker, L. G. Allred, G. Ware. Temporal change enhancement in multispectral images remotely sensed from satellites. In Proceedings of the SPIE --- Visual Information Processing VI, SPIE, Orlando, USA, vol.3074, pp.104-108, 1997.
    [6] I. Tamches, N. J. Belknap. Development of Digital Enhancement Techniques Applicable to Direct Read-out (APT) Meteorological Satellite Images, Technical Report, USA, 1973.
    [7] G. Xu, J. Su, H. D. Pan, Z. G. Zhang, H. B. Gong. An image enhancement method based on gamma correction. In Proceedings of the 2nd International Symposium on Computational Intelligence and Design, IEEE, Changsha, PRC, pp.60-63, 2009.
    [8] J. F. Yang, Y. H. Shi, X. L. Xiong. Improved gamma correction method in weakening illumination. Journal of Civil Aviation University of China, vol.24, no.4, pp.39-42, 2006. (in Chinese)
    [9] S. M. Zhou, J. Q. Gan, L. D. Xu, R. John. Interactive image enhancement by fuzzy relaxation. International Journal of Automation and Computing, vol.4, no.3, pp.229-235, 2007.
    [10] G. Sahoo, T. Kumar, B. L. Raina, C. M. Bhatia. Text extraction and enhancement of binary images using cellular automata. International Journal of Automation and Computing, vol.6, no.3, pp.254-260, 2009.
    [11] H. Demirel, G. Anbarjafari. Satellite image resolution enhancement using complex wavelet transform. IEEE Geoscience and Remote Sensing Letters, vol.7, no.1, pp.123-126, 2010.
    [12] H. Demirel, C. Ozcinar, G. Anbarjafari. Satellite image contrast enhancement using discrete wavelet transform and singular value decomposition. IEEE Geoscience and Remote Sensing Letters, vol.7, no.2, pp.333-337, 2010.
    [13] C. J. Zhang, X. D. Wang. Typhoon cloud image enhancement and reducing speckle with genetic algorithm in stationary wavelet domain. IET Image Processing, vol.3, no.4, pp.200-216, 2009.
    [14] R. Storn, K. Price. Differential Evolution --- A simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces, Technical Report TR-95-012, Berkely, USA, 1995.
    [15] V. Caselles, R. Kimmel, G. Sapiro. Geodesic active contours. International Journal of Computer Vision, vol.22, no.1, pp.61-79, 1997. %Interpolation of images using discrete wavelet transform to simulate%Automation and Computing}, vol.7, no.1, pp.9-16, 2010.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Abstract Views (6106) PDF downloads (2840) Citations (0)

A Novel Nonlinear Algorithm for Typhoon Cloud Image Enhancement

Fund Project:

This work was supported by National Natural Science Foundation of China (No.40805048, No.11026226), Typhoon Research Foundation of Shanghai Typhoon Institute/China Meteorological Administration (No.2008ST01), Research Foundation of State Key Laboratory of Remote Sensing Science, Jointly sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University (No.2009KFJJ013), Research Foundation of State Key Laboratory of Severe Weather/Chinese Academy of Meteorological Sciences (No.2008LASW-B03).

Abstract: A novel nonlinear gray transform method is proposed to enhance the contrast of a typhoon cloud image. Generally, the typhoon cloud image obtained by a satellite cannot be directly used to make an accurate prediction of the typhoon's center or intensity because the contrast of the received typhoon cloud image may be bad. Our aim is to extrude the typhoon's eye in the typhoon cloud image. A normalized arc-tangent transformation operation is designed to enhance global contrast of the typhoon cloud image. Differential evolution algorithm is used to choose the optimal nonlinear transform parameter. Finally, geodesic activity contour model is used to extract the typhoon's eye to verify the performance of the proposed method. Experimental results show that the proposed method can efficiently enhance the global contrast of the typhoon cloud image while greatly extruding the typhoon's eye.

Chang-Jiang Zhang and Bo Yang. A Novel Nonlinear Algorithm for Typhoon Cloud Image Enhancement. International Journal of Automation and Computing, vol. 8, no. 2, pp. 161-169, 2011. doi: 10.1007/s11633-011-0569-1
Citation: Chang-Jiang Zhang and Bo Yang. A Novel Nonlinear Algorithm for Typhoon Cloud Image Enhancement. International Journal of Automation and Computing, vol. 8, no. 2, pp. 161-169, 2011. doi: 10.1007/s11633-011-0569-1
Reference (15)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return