Perception

Contour Detection

Contour detection is the identification of object boundaries and salient edges in images, producing curves that separate regions, classically via edge detectors like Canny followed by contour tracing, and in modern pipelines via learned boundary networks or the boundaries of predicted segmentation masks. Contours support shape analysis, pose estimation of known parts, bin picking of rigid components, and visual servoing on object silhouettes.

Why it matters for physical AI

Boundary cues remain valuable for precise part localization in industrial vision and for extracting grasp-relevant geometry when full 3D perception is unavailable or too slow.