MIA_Toolbox
Hyperspectral image analysis add-on for PLS_Toolbox
Highlights
- Automatic image display technology to recognize and automatically present appropriate model results in image format
- Image importing and building functions to make assembly of multivariate images easier
- Image-specific functions including EWFA, MAF, and an image-enhanced cluster analysis
- Texture-analysis functions encode spatial information for use in pattern recognition or regression analysis
- Edge detection, image erosion, and morphing tools
- Wide array of file importers
Description
MIA_Toolbox for Multivariate Image Analysis expands the already comprehensive PLS_Toolbox functionality with many image-specific functions and builds on PLS_Toolbox interfaces to make analysis of multivariate images simple and intuitive.
With MIA_Toolbox, hyperspectral images from microscopy to remote sensing can be easily analyzed using your familiar PLS_Toolbox tools. Load, manipulate, and analyze multivariate images in the analysis graphical interface. Enjoy higher-level command-line functions. Perform principal components analysis, Multivariate Curve Resolution (ALS and Purity), SIMCA and PLSDA classification, k-means clustering, and even PLS or PCR regression. MIA_Toolbox also adds functions designed to take advantage of the special “spatial” relationship inherent in a multivariate image, including functions like evolving window factor analysis and maximal autocorrelative factors, and a suite of texture functions.
Eigenvector Research, Inc.
196 Hyacinth Road
Manson, WA 98831
UNITED STATES
Tel: 509-662-9213
bmw@eigenvector.com
https://eigenvector.com/
Required Products
Platforms
- Linux
- Macintosh
- UNIX
- Windows
Support
- Consulting
- Training
Product Type
- Data Analysis Tools
Tasks
- Data Analysis and Statistics
- Image Processing and Computer Vision
- Optics
Industries
- Aerospace and Defense
- Biotech and Pharmaceutical
- Earth, Ocean, and Atmospheric Sciences
- Semiconductor