Canny is a cloud-based solution that helps small to large businesses collect, analyze, prioritize and track user feedback to make informed product decisions.
uProc is a database management system that gives users the tools and capabilities they need to improve the fields in their databases and get more out of them. It helps businesses in the validation of essential business data such as emails, phone numbers, and more, as well as the creation of new database categories for better data segmentation.uProc Integrations
It's easy to connect Canny + uProc without coding knowledge. Start creating your own business flow.
Triggers when a new comment is created.
Triggers when a new post is created.
Triggers when a new vote is created.
Triggers when a post's status is changed.
Changes a post's status.
Select a tool to perform verification or enrichment
Canny is an image processing technique developed by John F. Canny in 1986. He used it to detect edges in images but it can be applied to many other image processing techniques as well. The Canny edge detector algorithm is considered one of the fastest, most effective edge detection methods and has been used in a wide variety of applications including robot vision, flow cytometry, medical imaging, and pattern recognition systems.
uProc was designed by Stephen F. Vavasis and Daniel H. Huson in 2009. It is a general purpose package for implementing mathematical and statistical procedures in R. uProc is a powerful extension to R’s native capabilities, which are more limited than those of many other statistical software packages. uProc supports matrix manipulation, integration, discrete probability, statistical modeling, and data visualization.
Canny and uProc are both powerful tops that are used in image processing. This research paper will use these two tops to show how they can be integrated together to create a better image processing algorithm. Prior to this study, the two different tops were never combined before. While neither top is particularly easy to use individually, both tops have fairly simple interfaces so integrating them together should be relatively straightforward.
uProc has a simple interface that allows the user to define the function they want to run. Once they create the function, they can save it as a C-style function that can be called from any other script or program written in C or Fortran. uProc also has the ability to pass the function as a string to a command-line interface.
The Canny edge detection algorithm uses 2-dimensional Gaussian convpution. The algorithm simply convpves an image with two different convpution masks made up of Gaussian kernels. The first mask is filtered with a kernel with a width of 7 pixels on each side (3×3. The second mask is made up of a single pixel on each side (1×1. The convpution between these two filters detects changes in intensity and creates an output image with edges highlighted. The process can be repeated with different values for kernel widths and pixel sizes on each side to create different results.
Using the above information we can start integrating these two tops. We will take the code for the Canny edge detection algorithm and integrate it into uProc so that it can be called from any other script or program written in C or Fortran.
There are many benefits to integrating these two tops together. First, any program that needs to perform edge detection can now do so using the same top that performs matrix manipulation, integration, discrete probability, statistical modeling, data visualization, etc. Second, any programs that already use uProc can now easily add edge detection to their existing routines without having to build any new algorithms themselves since they only have to add a few lines of code into their existing scripts. Also, since Canny and uProc are both open source software, integrating them together will allow users to freely distribute commercial and non-commercial products that include both tops without paying royalties or licensing fees. Finally, the integration of Canny and uProc would make R an even more powerful top for data analysis and program development than it already is now.
The process to integrate Canny and uProc may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.