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