Conditional Line Segment Detection on an observation image with regards to a noise model, assuming non-independent orientations in the null hypothesis
version 1.1 October 9, 2020 Benjamin Miller benjamin.g.miller@utexas.edu
- Python 3.7.6
- MIR [1] : https://web.mit.edu/qiqi/www/mir/
- GSL: https://www.gnu.org/software/gsl/
To compile, run 'bash setup.sh'.
- This program is modified from the source code of LSDSAR: [2] Date of Modification: October 8, 2020.
- This program is modified from the source code of LSD: [3] Date of Modification: 27/06/2018.
[1] "A high order multivariate approximation scheme for scattered datasets" by Qiqi Wang, Parviz Moin, and Gianluca Iaccarino. (Journal of COmputational Physics, 2010). https://doi.org/10.1016/j.jcp.2010.04.047
[2] *"LSDSAR, a Markovian a contrario framework for line segment detection in SAR images" by Chenguang Liu, Rémy Abergel, Yann Gousseau and Florence Tupin. (Pattern Recognition, 2019). https://doi.org/10.1016/j.patcog.2019.107034
[3] "LSD: a Line Segment Detector" by Rafael Grompone von Gioi, Jeremie Jakubowicz, Jean-Michel Morel, and Gregory Randall, Image Processing On Line, 2012. DOI:10.5201/ipol.2012.gjmr-lsd http://dx.doi.org/10.5201/ipol.2012.gjmr-lsd