| 43 | // out of extent. |
| 44 | template <class T> |
| 45 | void vtkImageNormalizeExecute( |
| 46 | vtkImageNormalize* self, vtkImageData* inData, vtkImageData* outData, int outExt[6], int id, T*) |
| 47 | { |
| 48 | vtkImageIterator<T> inIt(inData, outExt); |
| 49 | vtkImageProgressIterator<float> outIt(outData, outExt, self, id); |
| 50 | int idxC, maxC; |
| 51 | float sum; |
| 52 | T* inVect; |
| 53 | |
| 54 | // find the region to loop over |
| 55 | maxC = inData->GetNumberOfScalarComponents(); |
| 56 | |
| 57 | // Loop through output pixels |
| 58 | while (!outIt.IsAtEnd()) |
| 59 | { |
| 60 | T* inSI = inIt.BeginSpan(); |
| 61 | float* outSI = outIt.BeginSpan(); |
| 62 | float* outSIEnd = outIt.EndSpan(); |
| 63 | while (outSI != outSIEnd) |
| 64 | { |
| 65 | // save the start of the vector |
| 66 | inVect = inSI; |
| 67 | |
| 68 | // compute the magnitude. |
| 69 | sum = 0.0; |
| 70 | for (idxC = 0; idxC < maxC; idxC++) |
| 71 | { |
| 72 | sum += static_cast<float>(*inSI) * static_cast<float>(*inSI); |
| 73 | inSI++; |
| 74 | } |
| 75 | if (sum > 0.0) |
| 76 | { |
| 77 | sum = 1.0 / sqrt(sum); |
| 78 | } |
| 79 | |
| 80 | // now divide to normalize. |
| 81 | for (idxC = 0; idxC < maxC; idxC++) |
| 82 | { |
| 83 | *outSI = static_cast<float>(*inVect) * sum; |
| 84 | inVect++; |
| 85 | outSI++; |
| 86 | } |
| 87 | } |
| 88 | inIt.NextSpan(); |
| 89 | outIt.NextSpan(); |
| 90 | } |
| 91 | } |
| 92 | |
| 93 | //------------------------------------------------------------------------------ |
| 94 | // This method contains a switch statement that calls the correct |
no test coverage detected