Segmentation for Eyed Typhoon Cloud Image by Curvature and Fractal Feature
An efficient method to segment eyed typhoon from a satellite cloud image is proposed. First, original satellite cloud image is enhanced by gray transform. Second, in order to reduce the computation burden to segment the whole satellite cloud image, single threshold segmentation based on Bezier histogram is implemented to the original satellite cloud image. Some small unrelated cloud masses are discarded. Third, a second segmentation based on Bezier histogram is carried out to the first-segmented typhoon cloud image in order to completely separate true typhoon region into other non-typhoon regions. Box dimensions of all the regions in the second-segmented cloud image are computed.