This article explains how to remove background from image using Python. It has details to set the IDE, a list of steps, and a sample code to develop a picture background remover using Python. It will assist you to perform mathematical calculations and apply other settings using a few API calls.

Steps to Delete Background from Image using Python

1. Set the development environment to use Aspose.Imaging for Python via .NET to remove image background
2. Load and apply the Aspose.Imaging license to unlock full features
3. Define input and output file paths for processing the image
4. Load the input image from the specified file path
5. Calculate the feathering radius based on image dimensions to smooth the edges
6. Configure GraphCut masking settings with automatic stroke detection and transparent background
7. Initialize the masking engine with the image and apply the masking process using the decompose() method
8. Extract the foreground from the masking result and save it as a transparent PNG

These steps summarize the development of a photo background remover using Python. The process begins by setting file paths, loading the input image, and calculating the feathering radius to ensure smooth edge transitions. It then configures GraphCut masking with transparency, applies the masking to extract the foreground, and saves the result as a transparent PNG image.

Code to Delete Background from Picture using Python

This sample code demonstrates the background eraser using Python. It removes the background from a raster image using the GraphCut segmentation method with automatic stroke detection and feathering for smoother edges. You can use a raster image in JPG, PNG, BMP, etc. format as the input and save the output in the same format or a different format as per the requirements.

This article has taught us the development of a background remover for images using Python. To change CDR to PDF, refer to the article Convert CDR to PDF using Python.