小波变换在云图边缘处理中的应用

Application of Wavelet Transforms on the Boundary Processingof the Infrared Satellite Cloud Image

采用Mallat快速小波变换算法进行红外卫星云图的图像平滑和增强处理,有效地突出了云系的边缘.提出红外卫星云图的边缘提取及基于边缘线的邻域处理方法,可以将卫星云图中感兴趣的云系的边缘提取出来,很好地保留了云系边缘的细节.将这种方法应用于台风云系的处理,取得很好的效果,并将处理结果与采用数学形态学处理的结果进行了分析比较,总结出两种数学方法的特点.

Applying Mallat wavelet transforms algorithm to the smoothing and enhancing process of the infrared satellite colud image,a new way to get the boundary of the cloud is proposed in this paper.A method based on the boundary detecting of the infrared satellite cloud image is suitable for dealing with the neighboring area processing.The usable boundary in details can be detected by using this method.It also works perfectly on typhoon cloud system.Contrasting the processing results with mathematics morphology,the characteristics of the two mathematics methods are summarized. 