ImageHashing | simple C # library | Hashing library

by jforshee C# Version: Current License: No License

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

kandi X-RAY | ImageHashing Summary

ImageHashing is a C# library typically used in Security, Hashing, Example Codes applications. ImageHashing has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is a very simple C# library used to generate average perceptual hashes of images and files containing image content. A similarity function is also included to compare hashes to one another and obtain a percentage on just how alike those hashes are. Various convenience methods are also provided to reduce the number of calls made by the user.

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Support

ImageHashing has a low active ecosystem.

It has 54 star(s) with 16 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 3 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ImageHashing is current.

Quality

ImageHashing has 0 bugs and 0 code smells.

Security

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

ImageHashing code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ImageHashing 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

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

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ImageHashing Key Features

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ImageHashing Examples and Code Snippets

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Community Discussions

Trending Discussions on ImageHashing

Comparing two Similar images which are been scaled in different way Or Compressed in Different way

Why can't use Task<>.Result property?

QUESTION

Comparing two Similar images which are been scaled in different way Or Compressed in Different way

Asked 2019-May-14 at 13:31

I am Trying to compare two images which looks similar , but When I do pixel to pixel comparison ,they won't be similar . Here the Problem is the Image is compressed in different Ratios .

To give more Example , If we take the Facebook Profile picture and the Twitter Profile Picture and Compare Pixel by pixel , we will see images are NOT Same . But by look and feel, we will see Image are same (Image Width and Height are same)

I have tried one of the Library called ImageHashing which is available in Python , when I use Average hashing , even when I Have dark Line on image it will show as same , where Phash will have same problem as Pixel to pixel compare .

The Other way which, I thought was Template matching(OpenCV) , But I am not so convinced for Image Comparison

Is there any way can compare two similar images which are compressed or Sampled differently and get proper result ?

...

ANSWER

Answered 2019-May-14 at 13:31

You might consider the combined Mean Squared Error (MSE) and Structural Similarity Index (SSIM) processes taught in this tutorial:

https://www.pyimagesearch.com/2014/09/15/python-compare-two-images/

An MSE of 0 indicates a perfect match; A SIMM index of 1.00 indicates a perfect match. It's kind of arbitrary, but an MSE under 1000 and a SIMM Index above 0.5 would indicate a strong similarity despite differences in compression and angle.

Source https://stackoverflow.com/questions/55855097

QUESTION

Why can't use Task<>.Result property?

Asked 2017-Aug-11 at 13:50

I have a problem with my tasks. When I try to recive returned variable from my task I can't use a .Result property to get it. Here is my code:

...

ANSWER

Answered 2017-Aug-11 at 13:02

You should use Task for the buffering variable. Not specifying the type means that the operation is not expected to return any result.

Source https://stackoverflow.com/questions/45635819

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

Vulnerabilities

No vulnerabilities reported

Install ImageHashing

You can download it from GitHub.

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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