In this space, you will find all the Segmentations in Breeze with what parameters are available and example usage
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Axis percentage (segmentation) Segments sample by axis percentages
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Camera (segmentation) Split data based on camera name or number of bands
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Deep learning segmentation Object detection using pre-trained algorithms via ONNX models
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Depth interval registration (segmentation) Set incremental segmentation based on the depth registration
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Depth registration (segmentation) Segment on registered core areas/depth
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Frames (segmentation) Split data into different measurements based on the number of frames.
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Grid and insets Spatial segmentation in grid format
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Group (segmentation) Separate on based on Breeze group
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Horizontal interval Spatial segmentation in the field of view width
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Intensity Segment objects from measurements using intensities in the different bands/wavelengths
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Manual selection (segmentation) Manual exploratory segmentation
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Model Separate object from background using PCA
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Model Expression Segment objects from measurements using expressions and models.
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Pixel class from external file Classify objects using pixel classification from external files.
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Pixel coordinates Lets the user create a specified region in the measurement based on pixel coordinates.
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Python script (segmentation) Segmentation of measurement using an external python script.
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Representative spectrum Create sub-sample from segmentation
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Shapefile Segment the image according to the specified shapefile
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Structure Identify objects by utilizing the spatial structure differences at the specified band
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Unmixing (segmentation) Segmentation using constrained spectral unmixing of spectral data