3D-FLIT and its application to linear feature extraction of ICT cubic data
Li Zeng · Optics and Precision Engineering · 2009
A linear feature extraction method for ICT cubic data was presented based on the Finite Line Integral Transform(FLIT),and the concept of the FLIT was introduced. Based on the concept,the 2D-FLIT was generalize into the 3D-FLIT to obtain the formulas of 3D-FLIT and inverse 3D-FLIT. By combining image fusion and morphological methods, two methods to extract the linear feature from cubic data based on FLIT (2D-FLIT or 3D-FLIT) were proposed.One of them is the idea of 3D-FLIT applying to the ICT cubic data directly for detecting 3D linear features. The other is the idea of 2D-FLIT applying to each slice in some directions of the ICT cubic data for detecting 2D linear features,and then the slices in different directions are fused for obtaining the linear features. Finally morphology image processing is used for extracting useful components of the linear features. Numerical experimental results prove that the proposed methods can extract more detail and precise line features as compared with the wavelet extraction method.