aditya9824 / blood-cell-counting-

Implemented image processing techniques for counting of blood cells.

Project

Reference Paper: Paper

MATLAB Toolkits Required

Image Processing tool box

Signal Processing tool box

How to run the code

• So we have two main codes 'canny.m' and 'main.m' which are present in the folder 'Codes'. In order to observe output of watershed algorithm, run the 'main.m' code and for running canny based algorithm execute 'canny.m'.

• Make sure that the image (dataset) path is properly given in the imread command.

• For running the GUI go to the folder named 'GUI' and execute the given file.

Dataset

The input images used to test the code: INPUT_IMAGES

The output images of the code: OUTPUT_IMAGES

Outputs

Original Image:

Pre-Processed Image:

Enhanced Image:

Segmented Image:

Post-Processed Image:

GUI

Starting page:

On the starting page we will see the instructions in order to run the GUI.

First Tab:-

In this tab we will get an option to load the image and perform preprocessing techniques.

Second Tab:-

In this tab we will get the option to segment the respective cells and count them.