| 46 | } |
| 47 | |
| 48 | bool IPLAccumulate::processInputData(IPLData* data , int, bool) |
| 49 | { |
| 50 | IPLImage* image = data->toImage(); |
| 51 | |
| 52 | // init result |
| 53 | if(!_result) |
| 54 | { |
| 55 | int width = image->width(); |
| 56 | int height = image->height(); |
| 57 | |
| 58 | _result = new IPLImage(image->type(), width, height); |
| 59 | _result->fillColor(0.0); |
| 60 | } |
| 61 | |
| 62 | // get properties |
| 63 | int method = getProcessPropertyInt("method"); |
| 64 | double weight = getProcessPropertyDouble("weighted_weight"); |
| 65 | |
| 66 | /*std::stringstream s; |
| 67 | s << "Window: "; |
| 68 | s << window; |
| 69 | addInformation(s.str());*/ |
| 70 | |
| 71 | notifyProgressEventHandler(-1); |
| 72 | cv::Mat input = image->toCvMat(); |
| 73 | cv::Mat output = _result->toCvMat(); |
| 74 | |
| 75 | input.convertTo(input, CV_32FC3); |
| 76 | output.convertTo(output, CV_32FC3); |
| 77 | |
| 78 | |
| 79 | if(method == 0) |
| 80 | { |
| 81 | cv::accumulate(input, output); |
| 82 | output *= 0.5; |
| 83 | } |
| 84 | else if(method == 1) |
| 85 | { |
| 86 | cv::accumulateSquare(input, output); |
| 87 | } |
| 88 | else if(method == 2) |
| 89 | { |
| 90 | cv::accumulateProduct(input, input, output); |
| 91 | } |
| 92 | else if(method == 3) |
| 93 | { |
| 94 | cv::accumulateWeighted(input, output, weight); |
| 95 | } |
| 96 | |
| 97 | output.convertTo(output, CV_8UC3); |
| 98 | |
| 99 | delete _result; |
| 100 | _result = new IPLImage(output); |
| 101 | |
| 102 | return true; |
| 103 | } |
| 104 | |
| 105 | IPLData* IPLAccumulate::getResultData( int ) |