Cell Segmentation

Introduction

This project aims at performing automated identification of cell boundaries from the pathological video data. We are given the video file cells.avi as input.

Compatibility

• This code has been tested on Ubuntu 16.04 LTS and Windows 10
• Dependencies - Python 2.7 & 3.5,OpenCV 3.0+

Methods Used

1. Image Processing followed by Contours
2. Adaptive Thresholding
3. Watershed Algorithm
4. Structured Forest Algorithm

Results

The video edge.avi is the result after applying Structured Forest algorithm.

References

Our Structured Forest is an implementation of Artanis CV python implementation.

Disclaimer

This software is published for academic and non-commerical use only.