sobel-operator | js implementation of the sobel operator | Runtime Evironment library

 by   Elements- JavaScript Version: Current License: No License

kandi X-RAY | sobel-operator Summary

kandi X-RAY | sobel-operator Summary

sobel-operator is a JavaScript library typically used in Server, Runtime Evironment, Nodejs applications. sobel-operator has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i sobel-cli' or download it from GitHub, npm.

Node.js implementation of the Sobel Operator (Sobel-Feldman operator).
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            kandi-support Support

              sobel-operator has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              sobel-operator has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of sobel-operator is current.

            kandi-Quality Quality

              sobel-operator has 0 bugs and 0 code smells.

            kandi-Security Security

              sobel-operator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              sobel-operator code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              sobel-operator does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              sobel-operator releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed sobel-operator and discovered the below as its top functions. This is intended to give you an instant insight into sobel-operator implemented functionality, and help decide if they suit your requirements.
            • Calculate the bump
            • Print the stats
            • Save png data to the png .
            • Get the index of the pixel at x y coordinates .
            • Converts a number into a string .
            Get all kandi verified functions for this library.

            sobel-operator Key Features

            No Key Features are available at this moment for sobel-operator.

            sobel-operator Examples and Code Snippets

            No Code Snippets are available at this moment for sobel-operator.

            Community Discussions

            QUESTION

            What is the Sobel operator?
            Asked 2021-Jun-15 at 18:13

            I tried 5 different implementations of the Sobel operator in Python, one of which I implemented myself, and the results are radically different.

            My questions is similar to this one, but there are still differences I don't understand with the other implementations.

            Is there any agreed on definition of the Sobel operator, and is it always synonymous to "image gradient"?

            Even the definition of the Sobel kernel is different from source to source, according to Wikipedia it is [[1, 0, -1],[2, 0, -2],[1, 0, -1]], but according to other sources it is [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]].

            Here is my code where I tried the different techniques:

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:22

            according to wikipedia it's [[1, 0, -1],[2, 0, -2],[1, 0, 1]] but according to other sources it's [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]]

            Both are used for detecting vertical edges. Difference here is how these kernels mark "left" and "right" edges.

            For simplicity sake lets consider 1D example, and let array be

            [0, 0, 255, 255, 255]

            then if we calculate using padding then

            • kernel [2, 0, -2] gives [0, -510, -510, 0, 0]
            • kernel [-2, 0, 2] gives [0, 510, 510, 0, 0]

            As you can see abrupt increase in value was marked with negative values by first kernel and positive values by second. Note that is is relevant only if you need to discriminate left vs right edges, when you want just to find vertical edges, you might use any of these 2 aboves and then get absolute value.

            Source https://stackoverflow.com/questions/67987368

            QUESTION

            Sobel filter - How to correctly display convolution result?
            Asked 2020-Aug-03 at 11:54

            I'm currently trying to implement my own version of the Sobel-Filter/Operator. I tried to pull as much information as possible from Wikipedia(https://en.wikipedia.org/wiki/Sobel_operator) and numerous explanations on YouTube, but i can't find a solution to my problem.

            So after gray-scaling my image:

            ...

            ANSWER

            Answered 2020-Aug-03 at 11:54

            Some of the values i get while doing the convolution are larger than 255

            This is often solved by using a "clamp" function. It is a function that checks if the argument is in the allowed range, and if not, returns the closest allowed value.

            Source https://stackoverflow.com/questions/63228738

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

            Vulnerabilities

            No vulnerabilities reported

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            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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            https://github.com/Elements-/sobel-operator.git

          • CLI

            gh repo clone Elements-/sobel-operator

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            git@github.com:Elements-/sobel-operator.git

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