Title :
Image segmentation by region growing and spectral clustering with a natural convergence criterion
Author :
Tilton, James C.
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
The image segmentation approach described is a new hybrid of region growing and spectral clustering. This approach produces a specified number of hierarchical segmentations at different levels of detail, based upon jumps in a dissimilarity criterion. A recursive implementation of this segmentation approach on a cluster of 66 Pentium Pro PCs is described, and the effectiveness of this segmentation approach on Landsat Multispectral Scanner data is discussed
Keywords :
geophysical signal processing; geophysical techniques; image segmentation; remote sensing; Landsat; dissimilarity criterion; geophysical measurement technique; hierarchical segmentation; image region growing; image segmentation; land surface; multispectral remote sensing; natural convergence criterion; recursive implementation; spectral clustering; terrain mapping; Convergence; Facsimile; Image segmentation; Labeling; Personal communication networks; Postal services; Process control; Remote sensing; Satellites; Telephony;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.703645
