Image Segmentation

In this project, we use the "Random Walker Algorithm" to segment the image. It is finally compared with the inbuilt function.

Table of contents

• Problem Statement
• Dataset
• Technologies
• Files and Folders
• Future Extensions

Problem Statement

The objective of this project is to implement image segmentation algorithm using Random walker. The implementation is done following the research paper based on "Random Walks for Image Segmentation" by L.Grady.

Dataset

There are ten different Grayscale images. all are of dimension 128 * 128 * 4 and in the '.png' format.

Technologies

The project uses Python >= 3.5

Other technologies and libraries used

• Google Colab / Jupyter Notebook
• OpenCV
• Pillow
• Numpy
• Math
• Matplotlib
• Skimage

Files and Folders

Image_Segmentation.ipynb: The main colab file containing the code.
Dataset: It contains the image files used for the project.
requirements.txt: The dependencies for the code. They have to be preinstalled.
Research_Paper : It contains the research paper used to implement the algorithm.