MeanFilter.cpp
Go to the documentation of this file.
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:  MeanFilter.cpp
00037 // Author:    Pedram Azad
00038 // Date:      2006
00039 // ****************************************************************************
00040 
00041 
00042 // ****************************************************************************
00043 // Includes
00044 // ****************************************************************************
00045 
00046 #include <new> // for explicitly using correct new/delete operators on VC DSPs
00047 
00048 #include "MeanFilter.h"
00049 
00050 #include <stdio.h>
00051 
00052 
00053 
00054 // ****************************************************************************
00055 // Constructor / Destructor
00056 // ****************************************************************************
00057 
00058 CMeanFilter::CMeanFilter(int nKernelSize)
00059 {
00060         m_pValues = 0;
00061         m_nPosition = 0;
00062         m_nElementsFilled = 0;
00063         m_nKernelSize = 0;
00064         
00065         SetKernelSize(nKernelSize);
00066 }
00067 
00068 CMeanFilter::~CMeanFilter()
00069 {
00070         if (m_pValues)
00071                 delete [] m_pValues;
00072 }
00073 
00074 
00075 // ****************************************************************************
00076 // Methods
00077 // ****************************************************************************
00078 
00079 void CMeanFilter::SetKernelSize(int nKernelSize)
00080 {
00081         if (nKernelSize <= 0)
00082         {
00083                 printf("error: nKernelSize must be greater 0 for CMeanFilter::SetKernelSize\n");
00084                 return;
00085         }
00086         
00087         m_nKernelSize = nKernelSize;
00088         
00089         if (m_pValues)
00090                 delete [] m_pValues;
00091         
00092         m_pValues = new float[nKernelSize];
00093         
00094         Reset();
00095 }
00096 
00097 void CMeanFilter::Reset()
00098 {
00099         for (int i = 0; i < m_nKernelSize; i++)
00100                 m_pValues[i] = 0.0f; // this is not really necessary...
00101 
00102         m_nPosition = 0;
00103         m_nElementsFilled = 0;
00104 }
00105 
00106 float CMeanFilter::Filter(float x)
00107 {
00108         if (m_nKernelSize <= 0)
00109         {
00110                 printf("error: CMeanFilter::Filter called, but m_nKernelSize is invalid (%i)\n", m_nKernelSize);
00111                 return x;
00112         }
00113 
00114         m_pValues[m_nPosition++ % m_nKernelSize] = x;
00115         if (m_nElementsFilled < m_nKernelSize)
00116                 m_nElementsFilled++;
00117         
00118         float sum = 0.0f;
00119         for (int i = 0; i < m_nElementsFilled; i++)
00120                 sum += m_pValues[i];
00121 
00122         return sum / m_nElementsFilled;
00123 }


asr_ivt
Author(s): Allgeyer Tobias, Hutmacher Robin, Kleinert Daniel, Meißner Pascal, Scholz Jonas, Stöckle Patrick
autogenerated on Thu Jun 6 2019 21:46:57