Apr 10, 2018 · As Ebey Abraham pointed out you need to do thresholding. Here is a reference link: Image Segmentation with Watershed Algorithm on how to do it using OpenCV + Python If you don't see Remove Background or the Picture Format tab, make sure that you've selected a picture. You might have to double-click the picture to select it and open the Picture Format tab. The default background area is colored magenta to mark it for removal, while the foreground retains its natural coloring. Image noise may be caused by different sources ( from sensor or from environment) which are often not possible to avoid in practical situations. Therefore, image denoising plays an important role in a wide range of applications such as image restoration, visual tracking, image registration, and image segmentation. Update 2019: Check out my new approach for background removal. Recently I’ve been playing around with OpenCV and Python to try and automate the process of removing background from an image of an object. From the images you can see that the background is close to plain white. Mar 14, 2017 · Read our blog to know how to remove static background from a video using OpenCV. Background removal is an important pre-processing step required in many vision based applications. It can be used in scenarios where the background remains approximately constant across the capture and there are some movements in the foreground.