/******************************************************************** ** Image Component Library (ICL) ** ** ** ** Copyright (C) 2006-2013 CITEC, University of Bielefeld ** ** Neuroinformatics Group ** ** Website: www.iclcv.org and ** ** http://opensource.cit-ec.de/projects/icl ** ** ** ** File : ICLMath/src/ICLMath/LinearTransform1D.h ** ** Module : ICLMath ** ** Authors: Christof Elbrechter ** ** ** ** ** ** GNU LESSER GENERAL PUBLIC LICENSE ** ** This file may be used under the terms of the GNU Lesser General ** ** Public License version 3.0 as published by the ** ** ** ** Free Software Foundation and appearing in the file LICENSE.LGPL ** ** included in the packaging of this file. Please review the ** ** following information to ensure the license requirements will ** ** be met: http://www.gnu.org/licenses/lgpl-3.0.txt ** ** ** ** The development of this software was supported by the ** ** Excellence Cluster EXC 277 Cognitive Interaction Technology. ** ** The Excellence Cluster EXC 277 is a grant of the Deutsche ** ** Forschungsgemeinschaft (DFG) in the context of the German ** ** Excellence Initiative. ** ** ** ********************************************************************/ #pragma once #include #include namespace icl{ namespace math{ /// A standard linear mapping class for the 1D case f(x) = m * x + b struct LinearTransform1D{ /// slope float m; /// offset float b; /// base constructor with given parameters m and b inline LinearTransform1D(float m=0, float b=0):m(m),b(b){} /// spedical constructor template with given source and destination range template inline LinearTransform1D(const utils::Range &s, const utils::Range &d): m(d.getLength()/s.getLength()), b(-m*s.minVal + d.minVal){ } /// applies the mapping to a given x -> f(x) = m * x + b float operator()(float x) const { return m*x+b; } }; } // namespace math }