Title :
Image region correspondence by structural similarity
Author :
Chen, I-Long ; Nakatani, Hiromasa
Author_Institution :
Graduate Sch. of Electron. Sci. & Technol., Shizuoka Univ., Hamamatsu, Japan
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents an approach for matching regions in images. Images are segmented into regions and are individually described by adjacency relations using region tables. The matching procedure is composed of two processes, global structural matching and local region matching. The global structural matching process selects a pair of region tables in two images which have the best resemblance between their adjacencies; the local region matching process matches regions which are surrounding the best matched region, and it has the ability to tolerate inconsistency of region segmentation to some extent
Keywords :
feature extraction; image segmentation; stereo image processing; adjacency relations; global structural matching; image segmentation; local region matching; region correspondence; region segmentation; region tables; stereo images; structural similarity; Image segmentation; Pixel;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201917
