A distance transform, also known as distance map or distance field, is a derived representation of a digital image. The choice of the term depends on the point of view on the object in question: whether the initial image is transformed into another representation, or it is simply endowed with an additional map or field.
The map labels each pixel of the image with the distance to the nearest obstacle pixel. A most common type of obstacle pixel is a boundary pixel in a binary image. See the image for an example of a chessboard distance transform on a binary image.
Usually the transform/map is qualified with the chosen metric. For example, one may speak of Manhattan distance transform, if the underlying metric is Manhattan distance. Common metrics are:
- Euclidean distance
- Taxicab geometry, also known as City block distance or Manhattan distance.
- Chessboard distance
Applications are digital image processing (e.g., blurring effects, skeletonizing), motion planning in robotics, and even pathfinding.
Famous quotes containing the words distance and/or transform:
“By sharing the information and observations with the caregiver, you have a chance to see your child through another pair of eyes. Because she has some distance and objectivity, a caregiver often sees things that a parent’s total involvement with her child doesn’t allow.”
—Amy Laura Dombro (20th century)
“God defend me from that Welsh fairy,
Lest he transform me to a piece of cheese!”
—William Shakespeare (1564–1616)