Segmentation Of Photospheric And Chromospheric Solar Features

We describe the application of a multi-scale Laplacian-of-Gaussian (LoG) operator and of an iterative version of Medial Axis Transform (i-MAT) as tools for the segmentation of both photospheric and chromospheric solar features. We introduce the multi-scale LoG operator in order to extract compact structures in photospheric intensity or Doppler images. The second method, based on a i-MAT algorithm applied to gray level images, is introduced to recognize reticulated structures like chromospheric network or intergranular lanes. The developed numerical procedures allow a non-subjective segmentation of solar images in order to investigate morphological and topological properties of identified features. We discuss the output of the segmentation procedures when applied to real images.