Package com.openinventor.imageviz.engines.imagesegmentation.classification 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.