EUnsupervisedSegmenterResult Class
An EUnsupervisedSegmenterResult object represents the result of a EUnsupervisedSegmenter tool.
Namespace: Euresys::Open_eVision::EasyDeepLearning
Methods
Draws the segmentation (with transparency).
To indicate the importance of the defect at a given pixel, the segmentation is drawn using a gradient going from yellow (least important) to red (maximum importance) (See EUnsupervisedSegmenterResult::SegmentationMap).
To indicate the importance of the defect at a given pixel, the segmentation is drawn using a gradient going from yellow (least important) to red (maximum importance) (See EUnsupervisedSegmenterResult::SegmentationMap).
Constructs a non-valid EUnsupervisedSegmenterResult.
Score that is used for classification of the image.
Error of the image.
Returns the segmented region. The segmented region corresponds to the pixels that have a value strictly higher than 0 in the segmentation map (see EUnsupervisedSegmenterResult::SegmentationMap).
Returns the segmentation map. The segmentation map is a grayscale image where all defective pixels have a value strictly higher than 0. The value of a pixel is proportional to the importance of the defect at that position.
Indicates whether the result is complete and ready to be used.
Indicates whether the result is defective/not good based on the threshold of the unsupervised segmentation tool that produced the result (see EUnsupervisedSegmenter::ClassificationThreshold).
Indicates whether the result is good based on the threshold of the unsupervised segmentation tool that produced the result (see EUnsupervisedSegmenter::ClassificationThreshold).
Indicates whether the result was produced by a EUnsupervisedSegmenter object.
A default contructed EUnsupervisedSegmenterResult is not valid.
A default contructed EUnsupervisedSegmenterResult is not valid.
Assignment operator
EUnsupervisedSegmenterResult Class
An EUnsupervisedSegmenterResult object represents the result of a EUnsupervisedSegmenter tool.
Namespace: Euresys.Open_eVision.EasyDeepLearning
Properties
Score that is used for classification of the image.
Error of the image.
Returns the segmented region. The segmented region corresponds to the pixels that have a value strictly higher than 0 in the segmentation map (see EUnsupervisedSegmenterResult::SegmentationMap).
Returns the segmentation map. The segmentation map is a grayscale image where all defective pixels have a value strictly higher than 0. The value of a pixel is proportional to the importance of the defect at that position.
Methods
Draws the segmentation (with transparency).
To indicate the importance of the defect at a given pixel, the segmentation is drawn using a gradient going from yellow (least important) to red (maximum importance) (See EUnsupervisedSegmenterResult::SegmentationMap).
To indicate the importance of the defect at a given pixel, the segmentation is drawn using a gradient going from yellow (least important) to red (maximum importance) (See EUnsupervisedSegmenterResult::SegmentationMap).
Constructs a non-valid EUnsupervisedSegmenterResult.
Indicates whether the result is complete and ready to be used.
Indicates whether the result is defective/not good based on the threshold of the unsupervised segmentation tool that produced the result (see EUnsupervisedSegmenter::ClassificationThreshold).
Indicates whether the result is good based on the threshold of the unsupervised segmentation tool that produced the result (see EUnsupervisedSegmenter::ClassificationThreshold).
Indicates whether the result was produced by a EUnsupervisedSegmenter object.
A default contructed EUnsupervisedSegmenterResult is not valid.
A default contructed EUnsupervisedSegmenterResult is not valid.
Assignment operator