contourdetection
Contour detection is a computer vision task focused on identifying the boundaries of objects within an image. It typically aims to extract continuous curves that delineate the borders between regions of differing intensity or texture. In practice, contour detection is often performed after pre-processing, edge detection, or thresholding, and can operate on grayscale or color images by converting to a suitable representation.
Common approaches include edge detectors (such as Canny) to locate potential boundary pixels, followed by contour
Applications and challenges: contour detection is used for object recognition, shape analysis, medical imaging, robotics, and