Reference TypeConference Proceedings
Citation KeyVaqueroBarrHira:2005:MaApMu
Author1 Vaquero, Daniel André
2 Barrera, Junior
3 Hirata Jr., Roberto
Affiliation1 Universidade de São Paulo
TitleA maximum-likelihood approach for multiresolution W-operator design
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Book TitleProceedings
Date9-12 Oct. 2005
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationNatal
Keywordsdesign of image operators, mathematical morphology, multiresolution, entropy, handwritten digits recognition.
AbstractThe design of W-operators from a set of input/output examples for large windows is a hard problem. From the statistical standpoint, it is hard because of the large number of examples necessary to obtain a good estimate of the joint distribution. From the computational standpoint, as the number of examples grows memory and time requirements can reach a point where it is not feasible to design the operator. This paper introduces a technique for joint distribution estimation in W-operator design. The distribution is represented by a multiresolution pyramidal structure and the mean conditional entropy is proposed as a criterion to choose between distributions induced by different pyramids. Experimental results are presented for maximum-likelihood classifiers designed for the problem of handwritten digits classification. The analysis shows that the technique is interesting from the theoretical point of view and has potential to be applied in computer vision and image processing problems.
Tertiary TypeFull Paper
Size152 KiB
Number of Files1
Target Filevaquerod_multiresolution.pdf
Last Update2005: administrator
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