IMPROVED OBJECT BOUNDARY REPRESENTATION BY INVESTIGATING NEIGHBOR QUADRANTS IN A QUADTREE STRUCTURE OF AN IMAGE.

N. A. Alexandridis, N. A. Bilalis, S. Ziavras

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A quadtree representation of an image enables efficient storage and approximate structural description of constituent patterns. A disadvantage of the method is the arbitrariness of dividing lines. Picture areas and the dividing lines imposed may combine to slice single objects into fragments which could be 'non informative. ' As a result objects present in the original image are unrecognizable or completely absent in the reduced picture. Search of neighbor areas of a quadrant should yield improved reduced pictures. A preprocessing predictive-correcting method is proposed. This decision procedure examines neighbor quadrants at any level of a quadtree and judges whether it is worth saving a quadrant or not by testing the surrounding area. The procedure is recursive based on three-level front-end algorithm for any pair of tree levels. A set of neighbor subquadrant templates are suggested for a better object boundary representation by determining neighbor subquadrant importance defined relative to parts of the examining quadrant. Other sets of templates could be used to detect Specific Shapes.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherNorth-Holland
Pages195-201
Number of pages7
ISBN (Print)0444876952
StatePublished - Dec 1 1985
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'IMPROVED OBJECT BOUNDARY REPRESENTATION BY INVESTIGATING NEIGHBOR QUADRANTS IN A QUADTREE STRUCTURE OF AN IMAGE.'. Together they form a unique fingerprint.

Cite this