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MUSE--a new tool for interactive image analysis and segmentation based on multivariate statistics.

Abstract：

:MUSE--a new software tool for the interactive exploration of multivariate images and the development of image segmentation methods has been designed, implemented, and tested in a number of real application projects. The multivariate statistical classification and projection methods in MUSE can be used not only to analyze multispectral images but also, in special cases, multitemporal images and volume images. Additionally MUSE can be applied to normal greyscale images provided they are made multivariate through an initial processing step. This step may consist in the application of filters designed to enhance any existing texture differences between different regions in the images. MUSE has been successfully applied to medical images (color photographs, MR, PET, SPECT) as well as to satellite images (Landsat TM).

journal_name

Comput Methods Programs Biomed

journal_title

Computer methods and programs in biomedicine

authors

Bengtsson E,Nordin B,Pedersen F

doi

10.1016/0169-2607(94)90128-7

subject

Has Abstract

pub_date

1994-03-01 00:00:00

pages

181-200

issue

3

eissn

0169-2607

issn

1872-7565

pii

0169-2607(94)90128-7

journal_volume

42

pub_type

杂志文章

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