Computer vision boundary detection

1. What is boundary detection in computer vision?
2. How image processing is helpful in boundary detection?
3. Why edge detection is most common approach for detecting discontinuities?
4. What is edge linking and boundary detection?

What is boundary detection in computer vision?

Boundary detection is an important problem in computer vision. It is distinct from edge detection, which finds the boundaries between light and dark pixels in an image. Boundary detection instead finds the semantic boundaries between what humans would consider to be different objects or regions of the image.

How image processing is helpful in boundary detection?

Boundary Image Detection

Image segmentation is typically used to locate objects and boundaries in images. The boundary of an image can provide valuable information for further image analysis and interpretation tasks.

Why edge detection is most common approach for detecting discontinuities?

Edge detection is the most familiar approach for detecting significant discontinuities in intensity values. Edges are local changes in the image intensity. Edges typically occur on the boundary between two regions. The main features can be extracted from the edges of an image.

What is edge linking and boundary detection?

Set of pixels from edge detecting algorithms, seldom define a boundary completely because of noise, breaks in the boundary etc. Therefore, Edge detecting algorithms are typically followed by linking and other detection procedures, designed to assemble edge pixels into meaningful boundaries.