DocumentCode
2124545
Title
Extracting curvilinear features from remotely sensed images using minimum cost path techniques
Author
Dobie, Mark R. ; Lewis, Paul H.
Author_Institution
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
Volume
3
fYear
1994
fDate
13-16 Nov 1994
Firstpage
231
Abstract
The extraction of curvilinear features from images is an important task in many image analysis applications. We describe an approach to such tasks based on the combination of an efficient optimal path finding algorithm and the use of window constrained search spaces. We conclude that the combination provides an effective vehicle for curvilinear feature extraction from a variety of images
Keywords
edge detection; feature extraction; geographic information systems; geophysical signal processing; image processing; optimisation; remote sensing; GIS environments; efficient optimal path finding algorithm; extracting curvilinear features; image analysis applications; minimum cost path techniques; remotely sensed images; rivers; window constrained search spaces; Computer errors; Computer science; Cost function; Feature extraction; Image analysis; Image edge detection; Pixel; Rivers; Roads; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413853
Filename
413853
Link To Document