image-registration | Java API to perform for image registration using control | Math library

by Oliver-Loeffler Java Version: v0.0.5 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | image-registration Summary

image-registration is a Java library typically used in Institutions, Learning, Education, Utilities, Math applications. image-registration has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Java API to perform for image registration using control points (landmarks). Supports rigid transforms and affine transforms. Decouples matrix computation from API, so use of different Java matrix computation libraries is possible.

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Support

image-registration has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 11 have been closed. On average issues are closed in 187 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of image-registration is v0.0.5

Quality

image-registration has no bugs reported.

Security

image-registration has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

image-registration is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

image-registration releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Run the equation .
Returns the solver .
Update the first order for a compensation transformation .
Set the coordinates of a row .
Solves a set of displacements .
Get the data distribution .
Uses the QR decomposition
Returns the value of the coefficient at the given index .
Builds the AffineTransform .
Creates a demo example .

Get all kandi verified functions for this library.

image-registration Key Features

No Key Features are available at this moment for image-registration.

image-registration Examples and Code Snippets

No Code Snippets are available at this moment for image-registration.

Community Discussions

Trending Discussions on image-registration

How to generate heat map on the Whole Slide Images (.svs format) using some probability values?

Edge/structure matching for image registration

Ways to find registration between images with subpixel accuracy?

How to use ANTS registration tool?

QUESTION

How to generate heat map on the Whole Slide Images (.svs format) using some probability values?

Asked 2019-May-17 at 03:47

I am trying to generate heat map, or probability map, for Whole Slide Images (WSIs) using probability values. I have coordinate points (which determine areas on the WSIs) and corresponding probability values.

Basic Introduction on WSI: WSIs are large is size (almost 100000 x 100000 pixels). Hence, can't open these images using normal image viewer. The WSIs are processed using OpenSlide software.

I have seen previous posts in Stack Overflow on related to heat map, but as WSIs are processed in a different way, I am unable to figure out how to apply these solutions. Some examples that I followed: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, etc.

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ANSWER

Answered 2019-May-17 at 03:47

To generate heat map on WSIs, follow below instructions:

First of all Extract image patches and save the coordinates. Use below code for patch extraction. The code require some changes as per the requirements. The code has been copied from: patch extraction code link

Source https://stackoverflow.com/questions/56122112

QUESTION

Edge/structure matching for image registration

Asked 2019-Feb-06 at 20:18

I am working on image registration between LWIR & RGB images. I am able to extract the edges from both images. RGB_Edges, LWIR_Edges

Now, I want to match the edges of these images to calculate homography. I tried to match each edge of RGB with LWIR image separately using template matching (OpenCV) but it didn't worked.

Therefore, can anyone please suggest some methods to mach the edges/structures from both images that can be helpful to compute homography?

I will really appreciate any suggestion/help.

Thanks.

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ANSWER

Answered 2019-Feb-06 at 20:18

These two images are already fairly well aligned.

Due to the large thickness and irregularity of the edges, I doubt you can do much better.

If you have the option of operator supervision, point at corresponding points in the two images (four pairs are enough for an homography).

For an automated approach, you can try to thin the strokes then to find (approximate) line segments in both images. For a certain number of segments in one image, find the segment which is (approximately) parallel, close and facing with a significant overlap in the other. You can expect that these segments are in correspondence.

Next, you can you can obtain corresponding points by forming the intersections between some segments in each image (take segments that are close but as perpendicular as possible).

As this procedure will suffer from outliers, model fitting by RANSAC is probably a good option.

Source https://stackoverflow.com/questions/54539452

QUESTION

Ways to find registration between images with subpixel accuracy?

Asked 2019-Jan-23 at 08:21

I am using Matlab and doing image registration using cross-correlation. I used this code: https://www.mathworks.com/matlabcentral/fileexchange/18401-efficient-subpixel-image-registration-by-cross-correlation

However, for a certain edge of a proprietary image I'm looking at, I noticed that the dftregistration does not give a good result for the row_shift value. However, when I replaced lines 95-100 with this:

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ANSWER

Answered 2018-Apr-17 at 02:01

Computing the regular cross-correlation through multiplying with the complex conjugate in the Fourier domain gives a nice peak that can be localized with sub-pixel precision. To find the location of the peak, fit a parabola to the 3x3 neighborhood of the largest value.

The DIPimage function findshift implements this method and a few other ones too. The C++ source code is here if you're interested in seeing how it's implemented.

Source https://stackoverflow.com/questions/49867797

QUESTION

How to use ANTS registration tool?

Asked 2018-Apr-10 at 11:10

I am working medical image segmentation. I have T1-weighted MRIs of 120 patients with their corresponding label volumes (altogether 240 volumes). I have not worked with image-registration. I installed ANTS but I do not know how to apply registration on these MRIs. I am confused with few questions:

Which patient should be considered as fixed and which one moving? What is the criteria for such choosing?
Since this is segmentation task, the ground truth images should be registered as well? if yes, how?

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ANSWER

Answered 2018-Apr-10 at 11:10

I could find out the solution from the ANTS wiki page.

Source https://stackoverflow.com/questions/49398260

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

Vulnerabilities

No vulnerabilities reported

Install image-registration

You can download it from GitHub.
You can use image-registration 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 image-registration 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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