Affiliations: ICT Research Center, Key Laboratory of Optoelectronic
Technology and System of the Education Ministry of China, Chongqing University,
Chongqing, China | College of Optoelectronic Engineering, Chongqing
University, Chongqing, China | College of Mathematics and Statistics, Chongqing
University, Chongqing, China
Abstract: To reduce time cost and improve the performance of edge extraction
in CT volume data which is often in large size, we propose a novel method of 3D
crack edge extraction using two fusion steps, one is fusion on Finite Line
Integral Transform (FLIT) values in spatial directions called SD-FLIT and
another is fusion on Local Binary Pattern (LBP) values on spatial planes called
SP-LBP. By analyzing the S function of LBP operator, we find that value "0"
of this function can describe the change between two equivalence planes.
However, this property is sensitive to point difference, thus SD-FLIT is
introduced to smooth noises and artifacts before the application of SP-LBP to
extract 3D edge on binary volume data. Besides, fusions on directions and
planes are aimed at extracting enough spatial information. Experimental results
show that, owing to the sufficiency of information extraction and the
simplicity of computation, our method can get continuous, thin and occlusive 3D
edge, including the crack tip. Furthermore, it can be used to complicate volume
data. Compared with 3D wavelet and Facet model, our method cost less time,
saving at least 89% of that.
Keywords: CT volume data, 3D crack edge, data fusion, LBP, FLIT
