Difference between revisions of "Modules:VotingBinaryHoleFilling-Documentation-3.4"
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| − | + | [[Documentation-3.4|Return to Slicer 3.4 Documentation]] | |
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| + | [[Announcements:Slicer3.4#Highlights|Gallery of New Features]] | ||
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===Module Name=== | ===Module Name=== | ||
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===Examples, Use Cases & Tutorials=== | ===Examples, Use Cases & Tutorials=== | ||
| − | * | + | * This module can be used to fill in small holes in a segmentation, such as segmentations resulting from simple thresholding. |
| − | * | + | * This technique is used frequently when segmenting complete organs that may have ducts or vasculature that may not have been included in the initial segmentation, e.g. lungs, kidneys, liver. |
| − | |||
===Quick Tour of Features and Use=== | ===Quick Tour of Features and Use=== | ||
List all the panels in your interface, their features, what they mean, and how to use them. For instance: | List all the panels in your interface, their features, what they mean, and how to use them. For instance: | ||
| − | * ''' | + | * '''Binary Hole Filling Parameters:''' |
| − | * ''' | + | ** '''Maximum radius''' The radius of the hole to be filled |
| − | * ''' | + | ** '''Majority threshold''' The number of pixels over 50% that will decide whether an OFF pixel |
| − | * ''' | + | will become ON or not. For example, if the neighborhood of a pixel has |
| + | 124 pixels (excluding itself), the 50% will be 62, and if you set upd | ||
| + | a Majority threshold of 5, that means that the filter will require 67 | ||
| + | or more neighbor pixels to be ON in order to switch the current OFF | ||
| + | pixel to ON. | ||
| + | ** '''Background''' The value associated with the background (not object) | ||
| + | ** '''Foreground''' The value associated with the foreground (object) | ||
| + | * '''IO panel:''' | ||
| + | ** '''Input volume''' Volume to be processed | ||
| + | ** '''Output volume''' Volume with holes filled by the algorithm | ||
== Development == | == Development == | ||
Latest revision as of 21:38, 28 April 2010
Home < Modules:VotingBinaryHoleFilling-Documentation-3.4Return to Slicer 3.4 Documentation
Module Name
Voting Binary Hole Filling
General Information
Module Type & Category
Type: CLI
Category: Filtering
Authors, Collaborators & Contact
- Author: Bill Lorensen
- Contact: bill.lorensen at gmail.com
Module Description
Applies a voting operationin order to fill-in cavities. This can be used for smoothing contours and for filling holes in binary images.
Usage
Examples, Use Cases & Tutorials
- This module can be used to fill in small holes in a segmentation, such as segmentations resulting from simple thresholding.
- This technique is used frequently when segmenting complete organs that may have ducts or vasculature that may not have been included in the initial segmentation, e.g. lungs, kidneys, liver.
Quick Tour of Features and Use
List all the panels in your interface, their features, what they mean, and how to use them. For instance:
- Binary Hole Filling Parameters:
- Maximum radius The radius of the hole to be filled
- Majority threshold The number of pixels over 50% that will decide whether an OFF pixel
will become ON or not. For example, if the neighborhood of a pixel has 124 pixels (excluding itself), the 50% will be 62, and if you set upd a Majority threshold of 5, that means that the filter will require 67 or more neighbor pixels to be ON in order to switch the current OFF pixel to ON.
- Background The value associated with the background (not object)
- Foreground The value associated with the foreground (object)
- IO panel:
- Input volume Volume to be processed
- Output volume Volume with holes filled by the algorithm
Development
Dependencies
Other modules or packages that are required for this module's use.
Known bugs
Follow this link to the Slicer3 bug tracker.
Usability issues
Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.
Source code & documentation
Source Code: VotingBinaryholeFillingImageFilter.cxx
XML Description: VotingBinaryholeFillingImageFilter.xml
Usage:
./VotingBinaryHoleFillingImageFilter [--processinformationaddress
<std::string>] [--xml] [--echo]
[--foreground <int>] [--background
<int>] [--majorityThreshold <int>]
[--radius <std::vector<int>>] [--]
[--version] [-h] <std::string>
<std::string>
Where:
--processinformationaddress <std::string>
Address of a structure to store process information (progress, abort,
etc.). (default: 0)
--xml
Produce xml description of command line arguments (default: 0)
--echo
Echo the command line arguments (default: 0)
--foreground <int>
The value associated with the foreground (object) (default: 255)
--background <int>
The value associated with the background (not object) (default: 0)
--majorityThreshold <int>
The number of pixels over 50% that will decide whether an OFF pixel
will become ON or not. For example, if the neighborhood of a pixel has
124 pixels (excluding itself), the 50% will be 62, and if you set upd
a Majority threshold of 5, that means that the filter will require 67
or more neighbor pixels to be ON in order to switch the current OFF
pixel to ON. (default: 1)
--radius <std::vector<int>>
The radius of a hole to be filled (default: 1,1,1)
--, --ignore_rest
Ignores the rest of the labeled arguments following this flag.
--version
Displays version information and exits.
-h, --help
Displays usage information and exits.
<std::string>
(required) Input volume to be filtered
<std::string>
(required) Output filtered
Description: Applies a voting operationin order to fill-in cavities.
This can be used for smoothing contours and for filling holes in binary
images.
Author(s): Bill Lorensen
Acknowledgements: This command module was derived from
Insight/Examples/Filtering/MedianImageFilter (copyright) Insight
Software Consortium
More Information
Acknowledgment
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on the National Centers for Biomedical Computing can be obtained from National Centers for Biomedical Computing.
