RegionGrow | Region growing ImageJ plug-in | Map library

by tjrantal Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | RegionGrow Summary

RegionGrow is a Java library typically used in Geo, Map applications. RegionGrow has no bugs, it has no vulnerabilities and it has low support. However RegionGrow build file is not available. You can download it from GitHub.

Region growing ImageJ plug-in. Just simple 2D and 3D region growing stuff. Couldn’t find one that fitted my exact need and ended up writing one more region growig plug-in. I’m working for a specific goal, so the code is straying further and further away from a generic solution. N.B. Decided to add my own matlab dump code. Using would probably have been a good choice as well..

Support

Quality

Security

License

Reuse

Support

RegionGrow has a low active ecosystem.

It has 2 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

RegionGrow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RegionGrow is current.

Quality

RegionGrow has 0 bugs and 0 code smells.

Security

RegionGrow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

RegionGrow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RegionGrow does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

RegionGrow releases are not available. You will need to build from source code and install.

RegionGrow has no build file. You will be need to create the build yourself to build the component from source.

It has 8895 lines of code, 287 functions and 35 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed RegionGrow and discovered the below as its top functions. This is intended to give you an instant insight into RegionGrow implemented functionality, and help decide if they suit your requirements.

The main entry point
Calculates the local variance
Gets the variance
Returns the variance image
Main entry point for the caller
Read template data from a template file
Gets the seed volume
Checks for maxNeighbours
Grow the LCP image
The front - plane analysis
Segmenting plane analysis
Segment plane analysis
Perform horizontal plane analysis
Runs the frontal plane analysis
The main method
Performs horizontal plane analysis on an image
Runs the front of an image
Creates and returns a visualization stack for the specified image
Create the image stack
Main function for testing
Grows the distance between the seed points
Grow the pixel queue
Main entry point
This is the main entry point
Runs the JGrowth algorithm
Applies frontal plane analysis

Get all kandi verified functions for this library.

RegionGrow Key Features

No Key Features are available at this moment for RegionGrow.

RegionGrow Examples and Code Snippets

No Code Snippets are available at this moment for RegionGrow.

Community Discussions

Trending Discussions on RegionGrow

PCL::RegionGrowing on negative Indices

Binding data with WPF/C#

QUESTION

PCL::RegionGrowing on negative Indices

Asked 2021-Jun-24 at 19:05

I have a pointcloud from which I extracted a ground plane. Now I want to apply a region growing on all points except for the ground plane. How could I do that efficiently ?

...

ANSWER

Answered 2021-Jun-24 at 19:05

I couldn't just find a way to get the negative indices of what SACSegmentationFromNormals find, but you could try use:

pcl::ExtractIndices, see this tutorial: https://pcl.readthedocs.io/en/latest/extract_indices.html?highlight

Then use setNegative(true) to get a new point cloud, only containing what you want to do region growing on afterwards.

Source https://stackoverflow.com/questions/68114968

QUESTION

Binding data with WPF/C#

Asked 2021-May-25 at 12:30

I have a problem with data binding (binding update?). After launching the application, I load the images and want to display their histograms on a scale of 0-255. The variable 'frequency' already has the data ready. And I want to bind them to xaml to show some kind of chart. XAML code works well with some static data, but assigning value to 'frequency' it doesn't show anything.

XAML:

...

ANSWER

Answered 2021-May-25 at 06:29

Try use additional class like DicomChartItem and fill observable collection with it, something like that

C#:

Source https://stackoverflow.com/questions/67670036

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install RegionGrow

You can download it from GitHub.
You can use RegionGrow like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the RegionGrow component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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