Image Segmentation

Turkish equivalent: Görüntü bölütlemeDomain: Computer Vision

The task of assigning pixels or regions to semantic or instance-level classes rather than only locating objects with boxes.

Technical Context

Image segmentation assigns labels or instances at pixel or region level, providing spatial detail beyond a bounding box. It is used in forensic image analysis, medical imaging, and scene understanding, where boundary quality and class accuracy should be evaluated separately.

Spatial Boundary

Segmentation produces a denser output than object detection and generally requires more expensive annotation. A good class label does not guarantee an accurate object boundary.

Related article: Image Segmentation

Related technical publications

Publications whose title or summary directly references this concept.

Image Segmentation

Image segmentation from thresholding and morphology to learned encoder-decoder models, with emphasis on mask quality, annotation noise and runtime cost.