Local Otsu
In image processing, the Local Otsu method is used to automatically perform clustering-based image thresholding. It converts a gray value image into a binary image. Global Otsu thresholding is also available and explained in the Image Segmentation section.
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Note! There is no segmentation preview available for the Local Otsu method. |
The Local Otsu method avoids potential irregularities in the full 3D image by focusing on smaller cubes with voxel edge lengths according to the assigned Window Size.
The Sample Length parameter defines the distance between these regions. You can set it automatically by clicking Suggest Sample Length.
The Lower and Upper Cut Thresholds can be adjusted to reduce noise in bright or dark regions. Depending on the sample rate and window size, multiple thresholds are applied to assign each voxel to its respective phase.
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Know how! You can Save your current settings for this tool as Start-Up Settings . The next time you process an image, these settings will be automatically loaded and filled into the parameter fields. You can also load the Built-In Default Settings available in GeoDict. If you change any settings and want to revert to your saved start-up settings, click the corresponding button to Load the Start-Up Settings . |
Click Create Segmentation to use the Local Otsu method to segment the gray value image. This thresholding method does not generate a GeoDict result file. The resulting structure will be displayed in the GeoDict visualization area. The gray value image remains in memory and can be compared to the structure. In the view control panel above the visualization area, check Structure and uncheck Volume Field to only visualize the structure. To save the structure as a *.gdt file select File → Save Structure as from the menu bar in the main GeoDict GUI.
