Color scene matching

Author

Celenk, Mehmet

Author_Institution

Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA

fYear

1995

fDate

12-14 Mar 1995

Firstpage

284

Lastpage

288

Abstract

The paper describes a graph theoretic method for recognizing the color images of natural scenes. Images are represented by an adjacency graph description and the scenes are modeled by means of 3D to 2D constraints and adjacency relations. The relational distance measure is used for matching the relational graphs of the scenes and the respective images. Experiments are conducted on 193×232 imperfect color images of outdoor scenes involving complex shaped objects and irregular textures. Matching results are presented for one image processed by the method

Keywords

colour graphics; graph theory; image colour analysis; image matching; natural scenes; adjacency graph description; adjacency relations; color image recognition; color scene matching; complex shaped objects; graph theoretic method; high level analysis models; image understanding system; imperfect color images; irregular textures; natural scenes; outdoor scenes; relational distance measure; relational graphs; Image analysis; Image color analysis; Image recognition; Image segmentation; Image texture analysis; Labeling; Layout; Roads;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on

Conference_Location

Starkville, MS

ISSN

0094-2898

Print_ISBN

0-8186-6985-3

Type

conf

DOI

10.1109/SSST.1995.390568

Filename

390568