TarzaNN
TarzaNN neural network simulator
|
00001 /**************************************************************************** 00002 ** 00003 ** Copyright C 2002-2012 Laboratory for Active and Attentive Vision (LAAV), Department of Computer Science and Engineering, York University, Toronto, ON, Canada. 00004 ** All rights reserved. 00005 ** 00006 ** This file is part of the TarzaNN Neural Network Simulator. 00007 ** 00008 ** This file may be distributed and/or modified under the terms of the 00009 ** GNU General Public License version 2 as published by the Free Software 00010 ** Foundation and appearing in the file LICENSE.GPL included in the 00011 ** packaging of this file. 00012 ** 00013 ** See http://www.tarzann.org/gpl/ for GPL licensing information. 00014 ** 00015 ** Contact info@tarzann.org if any conditions of this licensing are 00016 ** not clear to you. 00017 ** 00018 ** This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE 00019 ** WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. 00020 ** 00021 ****************************************************************************/ 00022 00023 #ifndef RANDOM_FILTER_H_INCLUDED 00024 #define RANDOM_FILTER_H_INCLUDED 00025 #include "Filter.h" 00026 #include "FilterFactory.h" 00027 #include "MatrixOfMatrix.h" 00028 00030 class RandomFilter: public Filter { 00031 friend class FilterFactory; 00032 friend class MatrixOfMatrix<RandomFilter>; 00033 friend class CTSOMFeaturePlane; 00034 friend class STSOMFeaturePlane; 00035 00036 public: 00037 ~RandomFilter(){} 00038 00039 protected: 00040 RandomFilter (int w, int h, float gain=1.0f, bool allPositive=false); 00041 }; 00042 #endif //RANDOM_FILTER_H_INCLUDED