canny | Simple CAN-over-IP gateway

I applied the floodfill function in opencv to extract the foreground from the background but some of the objects in the image were not recognized by the algorithm so I would like to know how I can improve my detections and what modifications are necessary.

This sounds like an easy task, but I already spent hours on it. There're several posts with a similar headline, so let me describe my problem first. I have H264 encoded video files, those files show records of a colonoscopy/gastroscopy.

During the examination, the exterminator can make some kind of screenshot. You can see this in the video because for round about one second the image is not moving, so a couple of frames show the "same". I'd like to know when those screenshots are made.

So in the first place I extracted the image of the video:

I tried to change a few lines from the original code however when I tried to run , I got error that say 'AttributeError: module 'PngImageFile' has no attribute 'shape'. However, I had no problem when running the original code. What should I do to remove this error in my modified code?

Here is the original code :

Suppose we have an image as below:

[![Input][1]][1]

I want to determine the number of sides, and the length of each side.

Here in the image, we have three edges as straight lines, and the upper one is a curved edge. I am able to find the length of the three straight edges using Canny edge detection. We can have four vertices coordinates, and we can calculate the length of the three straight edges/lines, but unable to find the length of the curved edge.

find number of sides and length of each side and number of vertices in image python This is a good answer for getting the number of edges in an image, and we get the coordinates of vertices through the code in the above link. Further to get the length of the sides using the coordinates, we can use below code to get the length, if the edges are straight lines:

I am currently writing an image recognition script that makes a 2D array out of an image of a chess board for my chess project. However, I found it quite difficult to find which squares are empty:

So far, I have used the Canny edge detection on my image after applying the gaussian blur, which yielded the following results:

The code I used was:

I'm currently following this tutorial as part of an university assignment where we are supposed to implement canny edge detection ourselfes. Applying the gaussian blur worked without any problems but now I'm trying to display the magnitude intensity as shown on the website.

I implemented the functions as seen on the mentioned website and created a function for running the canny edge detection. Currently this is what the function looks like:

I would like to get the 4 corners of a page, The steps I took:

1. Converted to grayscale
2. Applied threshold the image
3. Applied Canny for detecting edges
4. After that I have used findContours
5. Draw the approx polygon for each polygon, my assumption was the relevant polygon must have 4 vertices.

but along the way I found out my solution sometimes misses, apparently my solution is not robust enough (probably a bit a naive solution).

I think some of the reasons for those paper corner detection failure are:

• The thresholds are picked manually for canny detection.
• The same about the epsilon value for approxPolyDP

My Code

So I asked a similar question a week ago, and got send to a thread for linker errors. I have now read through all of the errors and did a full clean install of everything including OpenCV, all with cmake.

The problem is that I still get the same linker errors when I now add the project properly. I have built the project using cmake and added the library file to dependencies and the library destination to the library directories.

https://github.com/andrewssobral/bgslibrary/tree/master It is this library, and I followed the cmake steps as the integration steps and I am honestly just lost with what I can do now.

If someone could please explain this to me in baby steps it would be really appreciated, as I am pretty sure I did everything right and still am getting the wrong answer

Photo's of all the steps I have taken: Initial Clone, Cmake, After a succesful build on release mode. Errors after implementing 1 line of code, The implementation that brings up the error

Please I am genuinely just lost.

PS: After following Drescherjms answers I rebuild my OpenCV but this time on release mode (as they noted, the error was that it couldn't find that .lib file). This solved the problem of not finding that but added a load of new linker errors that didn't exist before this while building. I will paste a few of them here:

I am using canny for image comparison. I am getting correct results for matching and non matching objects after comparing using canny image edging. At times it is not giving the right result and for that I need to keep changing the MIN_MATCH_COUNT. Any solution to keep the MIN_MATCH_COUNT and canny should compare each and every edge of the image.