Creating a Recipe
Describes the process of creating a segmentation recipe to identify features of interest in an image.
Shows the procedures and applications for optimizing, or objectively determining, image processing parameters.
Demonstrates how to use the Frequency Filter in three different applications.
Separating Features & Watersheding
Demonstrates application of the Separate Features function, as well as the Watershed function for completing a grain segmentation.
Shows examples of setting, calling, and using memory steps in a Recipe.
Demonstrates use of the Smart Cluster function for simple and objective multi-class segmentation.
Demonstrates use of the Color Cluster function for simple and objective color segmentation.
Demonstrates use of the Color Deconvolution function to highlight features of certain colors.
Demonstrates two example uses of Smart Find in Auto Segmentation for powerful and objective feature detection.
Calibrating The Scale
Shows how to calibrate the scale (i.e. calculate the pixel size) of your image, so that measurements can be made in physical units of microns, instead of pixels.
Discusses the power and procedures behind setting recipe steps as Layers.
Discusses the advantages and procedures behind recipe Chapters.
Adding Notes & Flags
Demonstrates how to add Notes and Flags to Recipe steps.
Coloring By Measurements
Demonstrates how to color segmented features according to any of their available measurements.
Demonstrates how to extract and visualize Local Measurements such as area fraction and thickness.
Measuring Feature Intensities
Demonstrates how to measure aspects of grayscale intensities within selected features.
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