Principal Component Analysis applied to digital image compression

Principal Component Analysis applied to digital image compression

Objective: To describe the use of a statistical tool (Principal ComponentAnalysis – PCA) for the recognition of patterns and compression,applying these concepts to digital images used in Medicine.Methods: The description of Principal Component Analysis is madeby means of the explanation of eigenvalu...

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Bibliographic Details
Main Author: Rafael do Espírito Santo
Format: Article
Language:English
Published: Instituto Israelita de Ensino e Pesquisa Albert Einstein 2012-06-01
Series:Einstein (São Paulo)
Subjects:
Principal component analysis
Eigenvalues
Eigenvectors
Image compressing
Patters
Dimensionality reduction
Online Access:http://apps.einstein.br/revista/arquivos/PDF/2237-135-139.pdf

Internet

http://apps.einstein.br/revista/arquivos/PDF/2237-135-139.pdf

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