Image Component Library (ICL)
|
00001 /******************************************************************** 00002 ** Image Component Library (ICL) ** 00003 ** ** 00004 ** Copyright (C) 2006-2013 CITEC, University of Bielefeld ** 00005 ** Neuroinformatics Group ** 00006 ** Website: www.iclcv.org and ** 00007 ** http://opensource.cit-ec.de/projects/icl ** 00008 ** ** 00009 ** File : ICLGeom/src/ICLGeom/ObjectEdgeDetectorData.h ** 00010 ** Module : ICLGeom ** 00011 ** Authors: Andre Ueckermann ** 00012 ** ** 00013 ** ** 00014 ** GNU LESSER GENERAL PUBLIC LICENSE ** 00015 ** This file may be used under the terms of the GNU Lesser General ** 00016 ** Public License version 3.0 as published by the ** 00017 ** ** 00018 ** Free Software Foundation and appearing in the file LICENSE.LGPL ** 00019 ** included in the packaging of this file. Please review the ** 00020 ** following information to ensure the license requirements will ** 00021 ** be met: http://www.gnu.org/licenses/lgpl-3.0.txt ** 00022 ** ** 00023 ** The development of this software was supported by the ** 00024 ** Excellence Cluster EXC 277 Cognitive Interaction Technology. ** 00025 ** The Excellence Cluster EXC 277 is a grant of the Deutsche ** 00026 ** Forschungsgemeinschaft (DFG) in the context of the German ** 00027 ** Excellence Initiative. ** 00028 ** ** 00029 ********************************************************************/ 00030 00031 #pragma once 00032 00033 #include <ICLMath/DynMatrix.h> 00034 00035 namespace icl{ 00036 namespace geom{ 00037 00040 class ICLGeom_API ObjectEdgeDetectorData{ 00041 00042 00043 public: 00044 typedef struct{ 00045 int medianFilterSize; 00046 int normalRange; 00047 int normalAveragingRange; 00048 int neighborhoodMode; 00049 int neighborhoodRange; 00050 float binarizationThreshold; 00051 bool useNormalAveraging; 00052 bool useGaussSmoothing; 00053 }m_params; 00054 00055 typedef struct{ 00056 float norm; 00057 math::DynMatrix<float> kernel; 00058 int l; 00059 int kSize; 00060 int rowSize; 00061 }m_kernel; 00062 00063 00065 ObjectEdgeDetectorData(); 00066 00068 virtual ~ObjectEdgeDetectorData(); 00069 00071 00073 m_kernel getKernel(int size); 00074 00076 00077 m_params getParameters(); 00078 }; 00079 } 00080 }