![]() ![]() To return to the default view, click Snap Data Range. The result is a linear mapping of a subset of pixel values to the entire range of grays, from black to white, producing an image of higher contrast. In this process, pixel values below a specified value are displayed as black, pixel values above a specified value are displayed as white, and pixel values in between these two values are displayed as shades of gray. The app adjusts the contrast using a technique called contrast stretching. ![]() To adjust the contrast, move the window over the histogram or resize the window by clicking and dragging the handles. When you do, the app overlays a contrast adjustment window on the histogram of the image, displayed in the Histogram pane. To improve the contrast of a band image, click Adjust Contrast on the app toolstrip. To get a closer look at a band, click Zoom In or Zoom Out in the axes toolbar that appears when you point the cursor over the image. The Image Processing Toolbox Hyperspectral Imaging Library requires desktop MATLAB®, as MATLAB® Online™ and MATLAB® Mobile™ do not support the library. For more information about installing add-ons, see Get and Manage Add-Ons. You can install the Image Processing Toolbox Hyperspectral Imaging Library from Add-On Explorer. ![]() This example requires the Image Processing Toolbox™ Hyperspectral Imaging Library. These plots, called spectral profiles, can identify elements in the hyperspectral data. In addition to exploring these visual representations of the spatial dimensions of the data, you can create plots of individual points or small regions of the data along the spectral dimension. You can also visualize hyperspectral indices of the data. You can also view color composite representations of the data set as RGB, color infrared (CIR), and false-color images. Using the capabilities of the app, you can view the individual bands of a hyperspectral data set as grayscale images. This example shows how to explore hyperspectral data using the Hyperspectral Viewer app. ![]()
0 Comments
Leave a Reply. |