Typhoon has different characteristics

such as texture

shape

and area

in different development stages. We could not automatically recognize the typhoon clouds in all stages based on these features. During different development stages

ty-phoon all has helicity and non-typhoon has no helicity. Based on this

we extract boundary information of clouds and statistics of the rotation degree of boundary clouds in single satellite image. In this paper

we use curvature curve of Bezier histogram to ob-tain two segmentation thresholds

iteratively segment the satellite image

and combine typhoon’s geometric features

such as ro-tation

area and shape to recognize the typhoon. Experimental results show that the typhoon can be recognized effectively in all different development stages.