public Detect ( Byte>.Image |
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image | Byte>.Image | The image where the objects are to be detected from |
scaleFactor | double | The factor by which the search window is scaled between the subsequent scans, for example, 1.1 means increasing window by 10% |
minNeighbors | int | Minimum number (minus 1) of neighbor rectangles that makes up an object. All the groups of a smaller number of rectangles than min_neighbors-1 are rejected. If min_neighbors is 0, the function does not any grouping at all and returns all the detected candidate rectangles, which may be useful if the user wants to apply a customized grouping procedure |
flag | CvEnum | Mode of operation. Currently the only flag that may be specified is CV_HAAR_DO_CANNY_PRUNING. If it is set, the function uses Canny edge detector to reject some image regions that contain too few or too much edges and thus can not contain the searched object. The particular threshold values are tuned for face detection and in this case the pruning speeds up the processing. |
minSize | Minimum window size. Use Size.Empty for default, where it is set to the size of samples the classifier has been trained on (~20x20 for face detection) | |
maxSize | Maxumum window size. Use Size.Empty for default, where the parameter will be ignored. | |
return | Emgu.CV.Structure.MCvAvgComp[] |
HaarCascade::Detect ( Byte>.Image |