A novel nonlinear algorithm for typhoon cloud image enhancement |
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Authors: | Chang-Jiang Zhang Bo Yang |
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Affiliation: | [1]College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, PRC [2]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, Beijing 100875, PRC |
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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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Keywords: | Typhoon image enhancement differential evolution algorithm non-linear transform partial differential equation |
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