MUSE - A NEW TOOL FOR INTERACTIVE IMAGE-ANALYSIS AND SEGMENTATION BASED ON MULTIVARIATE-STATISTICS

被引：11

作者：

BENGTSSON, E

NORDIN, B

PEDERSEN, F

机构：

[1] Centre for Image Analysis, Uppsala University, S-75237 Uppsala

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 1994年 / 42卷 / 03期

关键词：

MULTIVARIATE IMAGE ANALYSIS; BIOMEDICAL IMAGE ANALYSIS; IMAGE SEGMENTATION; CLASSIFICATION; PRINCIPAL COMPONENT ANALYSIS; INTERACTIVE SOFTWARE;

D O I：

10.1016/0169-2607(94)90128-7

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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).

引用

页码：181 / 200

页数：20