DocumentCode
3298176
Title
Distance between images
Author
Gualtieri, J.A. ; Le Moigne, J. ; Packer, C.V.
fYear
1992
fDate
19-21 Oct 1992
Firstpage
216
Lastpage
223
Abstract
The authors compare two methods which compute an approximation to the Hausdorff distance between pairs of binary images. They also implement a parallel vision of one of the methods, which can provide a fast image distance algorithm to calibrate algorithms performing such tasks as image recognition, image compression, or image browsing. For this purpose, they have shown a simple application of selecting the best iteration of a region growing algorithm which yields edge images by comparing them to a Canny edge detector
Keywords
computational geometry; computer graphics; image processing; Canny edge detector; Hausdorff distance; binary images; image browsing; image compression; image distance algorithm; image recognition; parallel vision; Concurrent computing; Euclidean distance; Handwriting recognition; Humans; Image coding; Image recognition; NASA; Pixel; Rendering (computer graphics);
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers of Massively Parallel Computation, 1992., Fourth Symposium on the
Conference_Location
McLean, VA
Print_ISBN
0-8186-2772-7
Type
conf
DOI
10.1109/FMPC.1992.234956
Filename
234956
Link To Document