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SOLUTIONS
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Functions
- ArrayComponents
- Binarize
- ChanVeseBinarize
- ClusteringComponents
- Colorize
- ColorQuantize
- ComponentMeasurements
- DeleteBorderComponents
- DeleteSmallComponents
- FillingTransform
- FindThreshold
- GradientFilter
- HighlightImage
- ImageClip
- ImageForestingComponents
- MorphologicalBinarize
- MorphologicalComponents
- RangeFilter
- RegionBinarize
- SelectComponents
- Threshold
- WatershedComponents
- Related Guides
Segmentation Analysis
Mathematica includes a variety of image segmentation techniques such as clustering, watershed, region growing, and level set as well as a rich set of functions for post-processing and analyzing the result of the segmentation.
ReferenceReference
Image Preparation
ColorQuantize — reduce the number of distinct colors in an image
FillingTransform — reduce noise to create smooth regions in an image
GradientFilter, RangeFilter — create an edge map from an image
FindThreshold ▪ Threshold ▪ ImageClip
Binary Segmentation
Binarize — segmentation by thresholding pixel intensities
MorphologicalBinarize ▪ RegionBinarize ▪ ChanVeseBinarize
Segmentation
ArrayComponents — find identical components
MorphologicalComponents — find morphologically connected components
ImageForestingComponents — image segmentation using various methods
ClusteringComponents — segmentation based on cluster analysis
WatershedComponents — segmentation based on watershed methods
Component Analysis
ComponentMeasurements — shape and color analysis
SelectComponents ▪ DeleteSmallComponents ▪ DeleteBorderComponents
Colorize — color every segment differently
HighlightImage — highlight region of interest
