Title :
Color scene matching
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
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;
Conference_Titel :
System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on
Conference_Location :
Starkville, MS
Print_ISBN :
0-8186-6985-3
DOI :
10.1109/SSST.1995.390568
