Title :
Cubical homology and the topological classification of 2D and 3D imagery
Author :
Allili, Madjid ; Mischaikow, Konstantin ; Tannenbaum, Allen
Author_Institution :
Sch. of Math., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
There are a number of tasks in low level vision and image processing that involve computing certain topological characteristics of objects in a given image including connectivity and the number of holes. We combine a new combinatorial topology method to compute the number of connected components and holes of objects in a given image with fast segmentation methods to extract the objects
Keywords :
combinatorial mathematics; feature extraction; image classification; image segmentation; topology; vision; 2D imagery; 3D imagery; combinatorial topology; connectivity; cubical homology; feature extraction; image processing; image segmentation; low level vision; object holes; topological classification; Computer vision; Data mining; Filling; Grid computing; Image processing; Image segmentation; Mathematics; Radar imaging; Shape; Topology;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958452
