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We currently don't have a way to detect the bounds of an image with a rectangle. It would be helpful to be able to identify a clear rectangle from the ELISA plate, similar to a banking app that allows for the scanning of checks or a scanning app that shows the user what is being identified as the page.
Task
Utilizing OpenCV, write a Python script to read in an image file, identify the ELISA plate present in the image file, then draw a bounding box around it to match the border of the plate. Display this with cv2.imshow() or similar with the bounding box drawn on the image to verify that the box has been drawn correctly.
Logistics
This is a script we can easily integrate into a camera module when constructing the application. There should be quite a few tutorials on something similar on OpenCV, but the general process is the following:
There might be some trouble identifying the bounding box on surfaces of certain colors; part of the assignment will be determining what the best background would be for the user to use. If something like this is necessary, checking the background color should also be integrated into the application (we can do something as simple as (if background not in range of colors we allow, throw error)).
The text was updated successfully, but these errors were encountered:
Motivation
We currently don't have a way to detect the bounds of an image with a rectangle. It would be helpful to be able to identify a clear rectangle from the ELISA plate, similar to a banking app that allows for the scanning of checks or a scanning app that shows the user what is being identified as the page.
Task
Utilizing OpenCV, write a Python script to read in an image file, identify the ELISA plate present in the image file, then draw a bounding box around it to match the border of the plate. Display this with cv2.imshow() or similar with the bounding box drawn on the image to verify that the box has been drawn correctly.
Logistics
This is a script we can easily integrate into a camera module when constructing the application. There should be quite a few tutorials on something similar on OpenCV, but the general process is the following:
Here are some tutorials to get started:
There might be some trouble identifying the bounding box on surfaces of certain colors; part of the assignment will be determining what the best background would be for the user to use. If something like this is necessary, checking the background color should also be integrated into the application (we can do something as simple as (if background not in range of colors we allow, throw error)).
The text was updated successfully, but these errors were encountered: