26 RegisterPreProcessingModule< MedianFilter > MedianFilter::registerModule(
"MedianFilter");
30 classType =
"MedianFilter";
31 preProcessingType = classType;
32 debugLog.setProceedingText(
"[DEBUG MedianFilter]");
33 errorLog.setProceedingText(
"[ERROR MedianFilter]");
34 warningLog.setProceedingText(
"[WARNING MedianFilter]");
35 init(filterSize,numDimensions);
40 classType =
"MedianFilter";
41 preProcessingType = classType;
42 debugLog.setProceedingText(
"[DEBUG MedianFilter]");
43 errorLog.setProceedingText(
"[ERROR MedianFilter]");
44 warningLog.setProceedingText(
"[WARNING MedianFilter]");
66 if( rhs.initialized ){
79 if( preProcessing == NULL )
return false;
89 errorLog <<
"clone(const PreProcessing *preProcessing) - PreProcessing Types Do Not Match!" << endl;
98 errorLog <<
"process(const VectorDouble &inputVector) - The filter has not been initialized!" << endl;
102 if( inputVector.size() != numInputDimensions ){
103 errorLog <<
"process(const VectorDouble &inputVector) - The size of the inputVector (" << inputVector.size() <<
") does not match that of the filter (" << numInputDimensions <<
")!" << endl;
109 if( processedData.size() == numOutputDimensions )
return true;
122 errorLog <<
"saveModelToFile(string filename) - The MedianFilter has not been initialized" << endl;
127 file.open(filename.c_str(), std::ios::out);
141 if( !file.is_open() ){
142 errorLog <<
"saveModelToFile(fstream &file) - The file is not open!" << endl;
146 file <<
"GRT_MEDIAN_FILTER_FILE_V1.0" << endl;
148 file <<
"NumInputDimensions: " << numInputDimensions << endl;
149 file <<
"NumOutputDimensions: " << numOutputDimensions << endl;
158 file.open(filename.c_str(), std::ios::in);
173 if( !file.is_open() ){
174 errorLog <<
"loadModelFromFile(fstream &file) - The file is not open!" << endl;
183 if( word !=
"GRT_MEDIAN_FILTER_FILE_V1.0" ){
184 errorLog <<
"loadModelFromFile(fstream &file) - Invalid file format!" << endl;
190 if( word !=
"NumInputDimensions:" ){
191 errorLog <<
"loadModelFromFile(fstream &file) - Failed to read NumInputDimensions header!" << endl;
194 file >> numInputDimensions;
198 if( word !=
"NumOutputDimensions:" ){
199 errorLog <<
"loadModelFromFile(fstream &file) - Failed to read NumOutputDimensions header!" << endl;
202 file >> numOutputDimensions;
206 if( word !=
"FilterSize:" ){
207 errorLog <<
"loadModelFromFile(fstream &file) - Failed to read FilterSize header!" << endl;
213 return init(filterSize,numInputDimensions);
222 if( filterSize == 0 ){
223 errorLog <<
"init(UINT filterSize,UINT numDimensions) - Filter size can not be zero!" << endl;
227 if( numDimensions == 0 ){
228 errorLog <<
"init(UINT filterSize,UINT numDimensions) - The number of dimensions must be greater than zero!" << endl;
234 this->numInputDimensions = numDimensions;
235 this->numOutputDimensions = numDimensions;
236 processedData.clear();
237 processedData.resize(numDimensions,0);
238 initialized =
dataBuffer.
resize( filterSize, VectorDouble(numInputDimensions,0) );
241 errorLog <<
"init(UINT filterSize,UINT numDimensions) - Failed to resize dataBuffer!" << endl;
249 VectorDouble y =
filter(VectorDouble(1,x));
251 if( y.size() == 0 )
return 0;
259 errorLog <<
"filter(const VectorDouble &x) - The filter has not been initialized!" << endl;
260 return VectorDouble();
263 if( x.size() != numInputDimensions ){
264 errorLog <<
"filter(const VectorDouble &x) - The size of the input vector (" << x.size() <<
") does not match that of the number of dimensions of the filter (" << numInputDimensions <<
")!" << endl;
265 return VectorDouble();
275 for(
unsigned int j=0; j<numInputDimensions; j++){
279 std::sort(tmp.begin(),tmp.end());
282 unsigned int medianIndex = (inputSampleCounter/2);
283 processedData[j] = tmp[ medianIndex ];
286 return processedData;
292 return vector< VectorDouble >();
296 for(
unsigned int j=0; j<numInputDimensions; j++){
string getPreProcessingType() const
bool push_back(const T &value)
bool resize(const unsigned int newBufferSize)
bool copyBaseVariables(const PreProcessing *preProcessingModule)