Sinuous | an interesting web game base on canvas | Canvas library

by fwon JavaScript Version: Current License: No License

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kandi X-RAY | Sinuous Summary

Sinuous is a JavaScript library typically used in User Interface, Canvas applications. Sinuous has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

an interesting web game base on canvas, which is a simulation of sinuousgame. http://fwon.github.io/escape/

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Support

Sinuous has a low active ecosystem.

It has 67 star(s) with 20 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Sinuous is current.

Quality

Sinuous has no bugs reported.

Security

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

License

Sinuous 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

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

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Sinuous Key Features

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Sinuous Examples and Code Snippets

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Community Discussions

Trending Discussions on Sinuous

Extract a periodic pattern from an image in Matlab

QUESTION

Extract a periodic pattern from an image in Matlab

Asked 2019-May-12 at 16:50

I have a sinuous signal in my image that you watch in below image. (in other words more than one signal with it's shadow)

I want to extract this sinuous signal (such a 1d signal) and find it's duty cycle, frequency and etc. As you can see there is a lot of noisy pattern also in my image and finding threshold or finding edges did not help me to solve the problem.

Also, I want to have a automatic algorithm that have generalize for my other images such this. Therefore,I think the finding of ROI couldn't be done, because in general sinuous signal begin from different row.

...

ANSWER

Answered 2019-Apr-22 at 13:12

What you said, is quite a project, not a question. I'd rather to study more about the similar projects and ask about some details in here. Although I could give you some hints:

1-Do a suitable thresholding on your image, like Otsu method (with a little change in the threshold value if it's needed).

2-On the binary image do an erode and a dilate successively to get rid of the small objects.

3-Do a horizontal dilation to get all parts of a curve stuck together. This gives you two firm curves.

4-Find connected components of each curve and with their prositions, find the lowest pixels (local minimum of signals)

5-Horizontal position of these local minimums, gives you the frequency.

Source https://stackoverflow.com/questions/55793769

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

Vulnerabilities

No vulnerabilities reported

Install Sinuous

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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