![]() ![]() ![]() Use the functions in this library to read, write, and process hyperspectral data captured by using the hyperspectral imaging sensors in. Image Processing Toolbox Hyperspectral Imaging Library provides MATLAB functions and tools for hyperspectral image processing and visualization. The Hyperspectral Viewer app enables you to read hyperspectral data, visualize individual band images and their histograms, create a spectrum plot for a pixel or region in a hyperspectral data cube, generate color or false-color representations of hyperspectral images, and display metadata. Import, export, process, and visualize hyperspectral data. The library presents a set of algorithms for endmember extraction, abundance map estimation, dimensionality reduction, band selection, spectral matching, and anomaly detection. The library supports national imagery transmission format (NITF), environment for visualizing images (ENVI), tagged image file format (TIFF), and metadata text extension (MTL) file formats. Use the functions in this library to read, write, and process hyperspectral data captured by using the hyperspectral imaging sensors in a variety of file formats. ![]() Since monitors work with rgb the image has to be converted at some place before display, so i think it doesnt really matter when this takes place. There are other parameters for generating call trees and such, not sure if they work with the converted MatLab code. Be sure to set EXTRACTALL YES to get auto-generated documentation for code without comments. Interim results as well as final versions can be compiled at any time as an online/offline hypermedia publication. 1 Answer Sorted by: 0 Ther is the hsv2rgb function to convert an hsv image to rgb, in case you were about to convert the values yourself. You can use doxygen plus an appropriate filter, such as UsingDoxygenwithMatlab. Image Processing Toolbox™ Hyperspectral Imaging Library provides MATLAB® functions and tools for hyperspectral image processing and visualization. HyperImage allows any number of details, or subregions, within an image to be highlighted and described, and for annotations within a corpus to be linked to each other, making them accessible in indices. ![]()
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