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.
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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 SevereWeather/Chinese Academy of Meteorological Sciences (No. 2008LASW-B03).
Chang-Jiang Zhang received the Ph.D. degree in control theory and control engineering from Beijing Institute of Technology, Beijing, PRC in 2004. He joined the Department of Electronic Information and Engineering, Zhejiang Normal University, Zhejiang, PRC in 2004. He is currently an professor in the Department of Signal and Information Processing at the Zhejiang Normal University, where he is the head of the Image and Graphic Processing Group. He is currently a member of China Society of Image Graphics and Chinese Meteorological Society.
His research interests include image processing, remote sensing, wavelet transform, multi-scale geometry analysis, and machine learning.
Bo Yang received the bachelor degree in electronics and information engineering from Zhejiang Normal University, Zhejiang, PRC in 2008. He is now a master student at the Zhejiang Normal University.
His research includes image segmentation, image enhancement, support vector machine, and wavelet transform.
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Zhang, CJ., Yang, B. A novel nonlinear algorithm for typhoon cloud image enhancement. Int. J. Autom. Comput. 8, 161–169 (2011). https://doi.org/10.1007/s11633-011-0569-1
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DOI: https://doi.org/10.1007/s11633-011-0569-1