DocumentCode :
3414475
Title :
Using local pyramids for more robust object delineation
Author :
Konik, Hubert ; Laget, Bernard
Author_Institution :
Inst. d´´Ingenierie de la Vision Lab., Univ., Saint-Etienne, France
fYear :
1996
fDate :
8-9 Apr 1996
Firstpage :
1
Lastpage :
6
Abstract :
Multiresolution techniques are often used for image segmentation, emulating the human visual process. More precisely, image pyramids are especially well adapted for multiresolution representation. A new concept is proposed that uses a pyramid approach in image segmentation, by simulating the human vision in its attention focusing process. The method introduces local pyramids in reply to inherent limitations of the classical structure, especially the case of elongated or countless objects. To show the robustness of such a new technique, experimental results and comparisons with classical methods are given
Keywords :
digital simulation; image representation; image resolution; image segmentation; simulation; visual perception; attention focusing process; countless object; elongated objects; experimental results; human vision simulation; human visual process; image pyramids; image segmentation; local pyramids; multiresolution representation; robust object delineation; Encoding; Focusing; Humans; Image resolution; Image sampling; Image segmentation; Kernel; Object detection; Robustness; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-3200-8
Type :
conf
DOI :
10.1109/IAI.1996.493717
Filename :
493717
Link To Document :
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