Threshold Selection Using Quadtrees
Abstract
The quadtree representation of binary arrays can be generalized to a quadtree approximation for images. A block is subdivided if its gray level standard deviation is greater than (e.g.) half of the global standard deviation. As a result, small blocks will tend to occur near region borders, and suppressing these blocks deepens the valleys on the image's histogram, thus making it easier to select a threshold for extracting objects from their background in the image.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1980
- Accession Number
- ADA090245
Entities
People
- Angela Y. Wu
- Azriel Rosenfeld
- Tsai-hong Hong
Organizations
- University of Maryland