DocumentCode :
3060214
Title :
Unsupervised image segmentation using the minimum description length principle
Author :
Sheinvald, Jacob ; Dom, Byron ; Niblack, Wayne ; Steele, David
Author_Institution :
IBM Res. Div., Almaden Res. Center, San Jose, CA, USA
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
709
Lastpage :
712
Abstract :
Considers the problem of unsupervised multiband image segmentation specifically, using the MDL criterion, an associated complexity measure. According to the MDL principle, the best estimates are those that result in the most compact encoding of the image. An important advantage of such an approach is that it is virtually free of the need to choose arbitrary thresholds, which are typical of many segmentation techniques, and which, in many cases, need to be interactively adjusted in order to get satisfactory results
Keywords :
image coding; image segmentation; MDL criterion; encoding; minimum description length principle; segmentation techniques; unsupervised multiband image segmentation; Gaussian distribution; Image coding; Image segmentation; Integrated circuit modeling; Jacobian matrices; Labeling; Layout; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
Type :
conf
DOI :
10.1109/ICPR.1992.201875
Filename :
201875
Link To Document :
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