Classification
[Image Segmentation]
Pixel classification technics allow to segment an image into different regions relatively to a set of attributes. More...
Classes | |
| class | SoAutoIntensityClassificationProcessing |
 SoAutoIntensityClassificationProcessing classifies all pixels/voxels of an image using the k-means method. More... | |
Detailed Description
Pixel classification technics allow to segment an image into different regions relatively to a set of attributes.
The attributes used by the classifier to identify the regions can be:
- Spectral: each attribute is a channel pixel value from a color or multi-band image.
- Spatial: each attribute is measurement on a given neighborhood of the target pixel. Generally these measurements reveal the local texture surrounding the pixel.
Pixel classification methods can be split into two categories:
- Unsupervised classification: the input image is automatically partitioned into a predefined number of regions.
- Supervised classification: regions are learned thanks to a training step on representative samples.