MUSE - A NEW TOOL FOR INTERACTIVE IMAGE-ANALYSIS AND SEGMENTATION BASED ON MULTIVARIATE-STATISTICS
MUSE - A NEW TOOL FOR INTERACTIVE IMAGE-ANALYSIS AND SEGMENTATION BASED ON MULTIVARIATE-STATISTICS
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DOI：
10.1016/0169-2607(94)90128-7
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发表时间：
1994-03-01
影响因子：
6.1
通讯作者：
PEDERSEN, F
中科院分区：
文献类型：
--
作者：
BENGTSSON, E;NORDIN, B;PEDERSEN, F
MUSE -一个新的软件工具，用于多变量图像的交互式探索和图像分割方法的发展已经设计，实施，并在一些真实的应用项目进行了测试。MUSE中的多元统计分类和投影方法不仅可以用于分析多光谱图像，而且在特殊情况下，还可以用于分析多时相图像和体积图像。此外，MUSE可以应用于正常的灰度图像，只要它们通过初始处理步骤成为多变量。该步骤可以包括应用被设计为增强图像中的不同区域之间的任何现有纹理差异的滤波器。MUSE已成功地应用于医学图像（彩色照片、MR、PET、SPECT）以及卫星图像（Landsat TM）。
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).