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. The region whose box dimension firstly arrives to the valley in the box dimension curve, which is drawn by all the box dimensions of second-segmented cloud image, is identified as true typhoon region. Forth, the second-segmented typhoon cloud image is expanded in order not to lose some important details. The ...

• Type: Journal
• Year: 2010
• Where: JDCTA
• Authors: Changjiang Zhang, Xiang Zhang, Bo Yang, Ying Li
• Keywords: Cloud Image, JDCTA 2010, Satellite Cloud Image, Typhoon Cloud Image