Typhoon Cloud Image Enhancement by Differential Evolution Algorithm and Arc-Tangent Transformation

Abstract

This paper proposed an image enhancement method based on the differential evolution algorithm (DEA) and arc tangent transformation for typhoon cloud images. Because of the effect of sensors or other factors, the contrast of the satellite cloud images received directly by satellite was not acceptable. In view of the features of typhoon cloud images, especially the feature of gray level distribution of typhoon eye's surrounding area, this algorithm can choose the most suitable parameter for arc tangent transformation to enhance the over-all contrast of eyed-typhoon cloud image. To examine the validity of the proposed method, we used the partial differential equation (PDE) based on geodesic activity contour (GAC) to extract the typhoon eye. The experimental results indicated that the proposed method could improve the overall contrast of typhoon cloud images directly, and make the typhoon eye differ distinctively from the surrounding area.