Segmentation process and quality

Goal in segmentation is to process, label and index an object in frame. Some segmentations types can process more than one object in the frame. Each object gets own color code.

Segmentation goal

The differences between segmentation quality is noise. Each object is segmented without background noise. Background noise is important to eliminate due to quality of recognizing the edges of the object.

Segmentation on 5 level and more

Segmenting on 5 level and more is used to detect objects. This type of segmentation is used in limited recognizing objects for fixed and mandatory objects. Image segmentation can be used in various ways, its applications range from low-level vision like 3D-reconstruction and motion estimation to high-level problems like image understanding and scene parsing.