00001 // **************************************************************************** 00002 // This file is part of the Integrating Vision Toolkit (IVT). 00003 // 00004 // The IVT is maintained by the Karlsruhe Institute of Technology (KIT) 00005 // (www.kit.edu) in cooperation with the company Keyetech (www.keyetech.de). 00006 // 00007 // Copyright (C) 2014 Karlsruhe Institute of Technology (KIT). 00008 // All rights reserved. 00009 // 00010 // Redistribution and use in source and binary forms, with or without 00011 // modification, are permitted provided that the following conditions are met: 00012 // 00013 // 1. Redistributions of source code must retain the above copyright 00014 // notice, this list of conditions and the following disclaimer. 00015 // 00016 // 2. Redistributions in binary form must reproduce the above copyright 00017 // notice, this list of conditions and the following disclaimer in the 00018 // documentation and/or other materials provided with the distribution. 00019 // 00020 // 3. Neither the name of the KIT nor the names of its contributors may be 00021 // used to endorse or promote products derived from this software 00022 // without specific prior written permission. 00023 // 00024 // THIS SOFTWARE IS PROVIDED BY THE KIT AND CONTRIBUTORS “AS IS” AND ANY 00025 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 00026 // WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 00027 // DISCLAIMED. IN NO EVENT SHALL THE KIT OR CONTRIBUTORS BE LIABLE FOR ANY 00028 // DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 00029 // (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 00030 // LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND 00031 // ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 00032 // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF 00033 // THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00034 // **************************************************************************** 00035 // **************************************************************************** 00036 // Filename: ObjectFinder.h 00037 // Author: Pedram Azad 00038 // Date: 2005 00039 // **************************************************************************** 00040 00041 00042 #ifndef _OBJECT_FINDER_H_ 00043 #define _OBJECT_FINDER_H_ 00044 00045 00046 // **************************************************************************** 00047 // Necessary includes 00048 // **************************************************************************** 00049 00050 #include "Structs/ObjectDefinitions.h" 00051 00052 00053 // **************************************************************************** 00054 // Forward declarations 00055 // **************************************************************************** 00056 00057 class CRegionFilterInterface; 00058 class CObjectClassifierInterface; 00059 class CObjectColorSegmenter; 00060 class CColorParameterSet; 00061 class CByteImage; 00062 00063 00064 00065 // **************************************************************************** 00066 // CObjectFinder 00067 // **************************************************************************** 00068 00069 class CObjectFinder 00070 { 00071 public: 00072 // constructor 00073 CObjectFinder(); 00074 00075 // destructor 00076 ~CObjectFinder(); 00077 00078 00079 // public methods 00080 void SetColorParameterSet(const CColorParameterSet *pColorParameterSet); 00081 00082 // first call this method for each new image 00083 void PrepareImages(const CByteImage *pImage, float fROIFactor = -1, bool bCalculateHSVImage = true); 00084 00085 // then for each color call one of the FindObjects-methods 00086 void FindObjects(const CByteImage *pImage, CByteImage *pResultImage, ObjectColor color, int nMinPointsPerRegion, bool bShowSegmentedImage); 00087 void FindObjects(const CByteImage *pImage, CByteImage *pResultImage, ObjectColor color, int nMinPointsPerRegion, CByteImage *pResultSegmentedImage); 00088 void FindObjects(const CByteImage *pImage, CByteImage *pResultImage, ObjectColor colorName, int hue, int hue_tol, int min_sat, int max_sat, int min_v, int max_v, int nMinPointsPerRegion, bool bShowSegmentedImage); 00089 00090 // instead of calling PrepareImages and one of the methods above one can directly feed the segmented image 00091 void FindObjectsInSegmentedImage(const CByteImage *pSegmentedImage, CByteImage *pResultImage, ObjectColor color, int nMinPointsPerRegion, bool bShowSegmentedImage); 00092 00093 // finally call this method 00094 int Finalize(); 00095 00096 00097 // for having access to segmentation result 00098 CByteImage* GetSegmentationResult() { return m_pSegmentedImage; } 00099 00100 // use these methods for setting a region filter and classifiers 00101 void SetRegionFilter(CRegionFilterInterface *pRegionFilter) { m_pRegionFilter = pRegionFilter; } 00102 00103 // use these moethods for manipulating the object list 00104 void AddObject(const Object2DEntry &entry); 00105 void ClearObjectList(); 00106 00107 00108 private: 00109 // private methods 00110 void CheckRegionsForObjects(const CByteImage *pColorImage, const CByteImage *pSegmentedImage, CByteImage *pResultImage, RegionList ®ionList, ObjectColor color); 00111 00112 // private attributes 00113 CObjectColorSegmenter *m_pObjectColorSegmenter; 00114 CByteImage *m_pSegmentedImage; 00115 00116 CRegionFilterInterface *m_pRegionFilter; 00117 00118 int m_nIDCounter; 00119 bool m_bUseROI; 00120 Object2DList m_ROIList; 00121 00122 public: 00123 Object2DList m_objectList; 00124 }; 00125 00126 00127 00128 #endif /* _OBJECT_FINDER_H_ */