@ARTICLE{Luong_Chinh_Ke_Curvilinear_2002,
 author={Luong, Chinh Ke},
 volume={vol. 51},
 number={No 1/2},
 journal={Geodesy and Cartography},
 pages={45-53},
 howpublished={online},
 year={2002},
 publisher={Commitee on Geodesy PAS},
 abstract={The edge extraction seem to be an important step in matching of aerial images for 3D city and also in analysis and interpretation of satellite imagery for middle scale mapping production. Since twenty years the problem of edge and line extraction is still actual. The degree of full automation for edge and line extraction is in the way to advance. In practice there are several groups of methods using for extraction of edges and lines. The methods based on the differential geometry are often useful to solve this tasks. This paper presents a new algorithm approach to find the coefficients of function fitting to an edge in 2D image that is written by Fouriers expansion. Basing on the gradients of edge pixel that is Gausians line-spread function, the fitting function to edge should be constituted. For improving reliability of linking edge pixels into line it is proposed to apply three thresholds in which one is based on the finding correlation coefficients of grey levels between the neighbouring pixels in the image window.},
 type={Article},
 title={Curvilinear feature extraction be fitting function},
 URL={http://journals.pan.pl/Content/121504/PDF-MASTER/6_GK_TOM_LI_ZESZYT_1-2_2002_Chinh_Ke_Ekstrakcja.pdf},
}