grabcut | Labeling tool for machine vision based segmentation tools | Computer Vision library

Need assistance with the simple task. I’m playing around with the LISC dataset that contains hematological images taken from peripheral blood and segmentation masks of manual ground truth for these graphical samples. The task is the following:

1. Segment isolated leukocytes by removing/cropping irrelevant background elements using the segmentation masks given in the dataset. Try this on one sample only.
2. Once accomplished, go through the whole folder, and segment/crop the rest of the samples.

Results should be like this (these were obtained via a combination of Mask R-CNN, GrabCut, and OpenCV — but not suitable for the current project I’m working on):

Here is the code that I’ve got so far (from jupyter notebook):

How can I add alpha channel to png image? Precisely I have the background using grabcut function, now I want to add it to the png image.

After that I want to set the alpha channel to transparent by use of a mask

I have been trying to separate the human body in an image from the background, but all the methods I have seen don't seem to work very well for me.

I have collected the following images;

• The image of the background
• The image of the background with the person in it.

Now I want to cut out the person from the background. I tried subtracting the image of the background from the image with the person using res = cv2.subtract(background, foreground) (I am new to image processing).

Background subtraction methods in opencv like cv2.BackgroundSubtractorMOG2() and cv2.BackgroundSubtractorMOG2() only works with videos or image sequence and contour detection methods I have seen are only for solid shapes.

And grabCut doesn't quite work well for me because I would like to automate the process.

Given the images I have (Image of the background and image of the background with the person in it), is there a method of cutting the person out from the background?

The idea is to use grabcut (OpenCV) to detect the image inside a rectangle and create a geometry with Direct2D.

My test image is this:

After performing the grab cut, resulting in this image:

the idea is to outline it. I can use an opacity brush to exclude it from the background but I want to use a geometric brush in order to be able to append/widen/combine geometries on it like all other selections in my editor (polygon, lasso, rectangle, etc).

If I apply the convex hull algorithm to the points, I get this:

Which of course is not desired for my case. How do I outline the image?

After getting the image from the grabcut, I keep the points based on luminance:

I have the following image:

I want to crop the image to the actual contents, and then make the background (the white space behind) transparent. I have seen the following question: How to crop image based on contents (Python & OpenCV)?, and after looking at the answer, and trying it, I got the following code:

I'm trying to create a program that checks if 2 images are the same. I have the following code which gets executed with both the images:

I am fairly new to OpenCv and am creating a program that will segment a shoe from its background using GrabCut algorithm, then I want to paste the shoe onto a white background but I am struggling at that part.

I tried cv2.add() to add the two images together but the two images have to be the same size and I can't guarantee that since the program prompts the user to upload the image.

I have also tried whiteBgImg = 255 - grabCutImg to make the background white where the shoe isn't but it seems to affect the final image which is a problem as I need to perform feature detection and matching on the image.

Thank you in advance for the advice! :)

Original image: Original Shoe

Final image (after grabcut and whiteBgImg = 255 - grabCutImg applied): Grabcut Shoe