1 | // created: 2013/06/27
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2 | // filename: MeanFilter.cpp
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3 | //
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4 | // author: Guillaume Sanahuja
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5 | // Copyright Heudiasyc UMR UTC/CNRS 7253
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6 | //
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7 | // version: $Id: $
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8 | //
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9 | // purpose: object computing a mean filter
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10 | //
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11 | //
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12 | /*********************************************************************/
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13 |
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14 | #include "MeanFilter.h"
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15 | #include <Matrix.h>
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16 | #include <LayoutPosition.h>
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17 | #include <GroupBox.h>
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18 | #include <SpinBox.h>
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19 |
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20 | using namespace std;
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21 | using namespace flair::core;
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22 | using namespace flair::gui;
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23 |
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24 | namespace flair {
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25 | namespace filter {
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26 |
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27 | MeanFilter::MeanFilter(const IODevice *parent, const LayoutPosition *position,
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28 | string name)
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29 | : IODevice(parent, name) {
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30 | // interface initialisation
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31 | groupBox = new GroupBox(position, name);
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32 | numberOfElements = new SpinBox(groupBox->NewRow(), "numberOfElements:", 1,
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33 | MAX_NUMBER_OF_ELEMENTS,
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34 | 1); // saturated to MAX_NUMBER_OF_ELEMENTS
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35 |
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36 | // init storage
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37 | for (int i = 0; i < MAX_NUMBER_OF_ELEMENTS; i++)
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38 | previousValues[i] = 0;
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39 |
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40 | // 1*1 output matrix
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41 | cvmatrix_descriptor *desc = new cvmatrix_descriptor(1, 1);
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42 | desc->SetElementName(0, 0,
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43 | "mean filter"); // name will be used for graphs and logs
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44 | output = new Matrix(this, desc, floatType, name);
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45 | delete desc;
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46 |
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47 | AddDataToLog(output);
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48 |
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49 | SetIsReady(true);
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50 | }
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51 |
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52 | MeanFilter::~MeanFilter() {}
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53 |
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54 | Matrix *MeanFilter::GetMatrix() const { return output; }
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55 |
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56 | float MeanFilter::GetValue(void) const { return output->Value(0, 0); }
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57 |
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58 | // UpdateFrom, where we implement the filter
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59 | // this method is automatically called when the parent IODevice calls
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60 | // ProcessUpdate
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61 | // in our case it is the sinus or the 1st orde law pass filter
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62 | //(see in Sinus::Run the call to ProcessUpdate)
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63 | void MeanFilter::UpdateFrom(const io_data *data) {
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64 |
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65 | float result = 0;
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66 | // get input argument in a matrix
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67 | const Matrix* input = dynamic_cast<const Matrix*>(data);
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68 |
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69 | if (!input) {
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70 | Warn("casting %s to Matrix failed\n",data->ObjectName().c_str());
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71 | return;
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72 | }
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73 |
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74 | // simple (and not efficent!) implementation of the filter
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75 | previousValues[numberOfElements->Value() - 1] = input->Value(0, 0);
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76 | for (int i = 0; i < numberOfElements->Value(); i++)
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77 | result += previousValues[i];
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78 | for (int i = 1; i < numberOfElements->Value(); i++)
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79 | previousValues[i - 1] = previousValues[i];
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80 |
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81 | // put the result in output matrix
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82 | output->SetValue(0, 0, result / numberOfElements->Value());
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83 | // put corresponding time
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84 | output->SetDataTime(data->DataTime());
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85 |
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86 | // ProcessUpdate is very important
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87 | // we must call it after updating the output matrix
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88 | // it allows:
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89 | // -to save value in the logs
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90 | // -to automatically call the next filter UpdateFrom method
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91 | ProcessUpdate(output);
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92 | }
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93 | } // end namespace filter
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94 | } // end namespace flair
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