 We extract two kinds of persistent featuresfrom binary segmentation maps, namelysparse PI features and amplitude features,  by applying persistent homology to  filtrations of the cubical complexes of segmentation mapsgenerated using height functions in multiple directions .
<meaning-changed>  We extract two kinds of persistent featuresfrom binary segmentation maps, namelysparse PI features and amplitude features,  by applying persistent homology to  filtrations of the cubical complexes of segmentation mapsgenerated using height functions in multiple directions .
 We extract two kinds of persistent featuresfrom binary segmentation maps, namelysparse PI features and amplitude features, namely, sparse persistence image (PI) and amplitude, by applying persistent homology to filtrations of the cubical complexes of segmentation mapsgenerated using height functions in multiple directions .