DocumentCode :
905746
Title :
Multiresolution analysis of ridges and valleys in grey-scale images
Author :
Gauch, John M. ; Pizer, Stephen M.
Author_Institution :
Coll. of Comput. Sci., Northeastern Univ., Boston, MA, USA
Volume :
15
Issue :
6
fYear :
1993
fDate :
6/1/1993 12:00:00 AM
Firstpage :
635
Lastpage :
646
Abstract :
Two methods for identifying and analyzing the multiresolution behavior of ridges and valleys in grey-scale images are described. The first method uses the tools of differential geometry to focus on local image behavior. The resulting vertex curves mark the tops of ridges and bottoms of valleys in an image. The second method focuses on the global drainage patterns of rainfall on a terrain map. The resulting watershed boundaries also identify the tops of ridges and bottoms of valleys in an image. By following these two geometric representations through scale space, the authors build resolution hierarchies on ridges and valleys in the image that can be utilized for interactive image segmentation
Keywords :
differential geometry; geophysical techniques; geophysics computing; image segmentation; rain; remote sensing; topography (Earth); differential geometry; geophysical techniques; global drainage patterns; grey-scale images; interactive image segmentation; multiresolution behavior; rainfall; remote sensing; ridges; terrain map; valleys; vertex curves; watershed boundaries; Computer science; Computer vision; Geometry; Image analysis; Image resolution; Image segmentation; Multiresolution analysis; Shape measurement; Signal resolution; Solid modeling;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.216734
Filename :
216734
Link To Document :
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