/* # # File : itkSTMS_ArgumentsAnalysis.h # ( C++ header file - STMS ) # # Description : STMS lib that implements the STMS filter and clustering. # This file is a part of the STMS Library project. # ( https://www.creatis.insa-lyon.fr/site7/fr/realisations ) # # [1] S. Mure, Grenier, T., Meier, S., Guttmann, R. G., et Benoit-Cattin, H., # « Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification », # Pattern Recognition Letters, vol. 68, Part 1, p. 48 - 55, 2015. # # Copyright : Thomas GRENIER - Simon MURE # ( https://www.creatis.insa-lyon.fr/~grenier/ ) # # License : CeCILL C # ( http://www.cecill.info/licences/Licence_CeCILL-C_V1-en.txt ) # # This software is governed by the CeCILL license under French law and # abiding by the rules of distribution of free software. You can use, # modify and/ or redistribute the software under the terms of the CeCILL # license as circulated by CEA, CNRS and INRIA at the following URL # "http://www.cecill.info". # # As a counterpart to the access to the source code and rights to copy, # modify and redistribute granted by the license, users are provided only # with a limited warranty and the software's author, the holder of the # economic rights, and the successive licensors have only limited # liability. # # In this respect, the user's attention is drawn to the risks associated # with loading, using, modifying and/or developing or reproducing the # software by the user in light of its specific status of free software, # that may mean that it is complicated to manipulate, and that also # therefore means that it is reserved for developers and experienced # professionals having in-depth computer knowledge. Users are therefore # encouraged to load and test the software's suitability as regards their # requirements in conditions enabling the security of their systems and/or # data to be ensured and, more generally, to use and operate it in the # same conditions as regards security. # # The fact that you are presently reading this means that you have had # knowledge of the CeCILL license and that you accept its terms. # */ /* Please don't forget to cite our work : @article {MURE-15a, title = {Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification}, journal = {Pattern Recognition Letters}, volume = {68, Part 1}, year = {2015}, pages = {48 - 55}, issn = {0167-8655}, doi = {http://dx.doi.org/10.1016/j.patrec.2015.07.021}, url = {http://www.sciencedirect.com/science/article/pii/S0167865515002305}, author = {S. Mure and T Grenier and Meier, S. and Guttmann, R.G. and H. Benoit-Cattin} } */ #ifndef itkSTMS_ArgumentsAnalysis_H #define itkSTMS_ArgumentsAnalysis_H #include #include namespace itkSTMS { static struct option long_options[] = { {"expDescription", required_argument, 0, 'd'}, {"imageDimension", required_argument, 0, 'i'}, {"numTimePoints", required_argument, 0, 'n'}, {"startTimePoint", required_argument, 0, 's'}, {"xScale", required_argument, 0, 'x'}, {"yScale", required_argument, 0, 'y'}, {"zScale", required_argument, 0, 'z'}, {"rScale", required_argument, 0, 'r'}, {"epsilon", required_argument, 0, 'e'}, {"maxIt", required_argument, 0, 'm'}, {"merge", no_argument , 0, 'g'}, {"help", no_argument , 0, 'h'}, {0, 0, 0, 0} }; struct ParamsAnalysisOutputType { std::string expDescription; float spScales[3]; float rScale; float epsilon; unsigned int maxIt; unsigned int dim; unsigned int numTimePoints; unsigned int startTimePoint; bool merge; std::string help; bool isOk; }; class itkSTMS_ArgumentsAnalysis{ public: itkSTMS_ArgumentsAnalysis(int argc, char **argv); void Update(); void ParametersDisplay(); void ParametersAnalysisInfo(); void CheckProvidedParameters(); inline ParamsAnalysisOutputType* GetSTMSParams(){ return &readParams; } private: ParamsAnalysisOutputType readParams; int argc; char **argv; }; } // end of namespace itkSTMS #ifndef ITK_MANUAL_INSTANTIATION #include "itkSTMS_ArgumentsAnalysis.hxx" #endif #endif // itkSTMS_ArgumentsAnalysis_H