https://github.com/kumaarbalbir/reg-grow-bfs

C++ implementations of a region-growing algorithm using OpenCV
https://github.com/kumaarbalbir/reg-grow-bfs

cpp region-growing-segmentation

Last synced: 7 months ago
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C++ implementations of a region-growing algorithm using OpenCV

• Host: GitHub
• URL: https://github.com/kumaarbalbir/reg-grow-bfs
• Owner: KumaarBalbir
• Created: 2024-08-27T15:40:01.000Z (about 1 year ago)
• Default Branch: local
• Last Pushed: 2024-08-27T15:56:10.000Z (about 1 year ago)
• Last Synced: 2024-08-27T17:31:57.268Z (about 1 year ago)
• Topics: cpp, region-growing-segmentation
• Language: C++
• Homepage:
• Size: 108 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
### Region Growing Using Opencv, BFS search and Euclid distance

This repository contains two C++ implementations of a region-growing algorithm using OpenCV. The algorithm segments an image into regions based on the similarity of pixel colors, utilizing Breadth-First Search (BFS) and Euclidean distance for region expansion.

#### Prerequisites

- OpenCV 4.x installed on your system.

- A C++ compiler (e.g., g++).

- CMake (if you prefer building with it instead of the Makefile).

#### Installing Opencv on Ubuntu

`sudo apt update

 sudo apt install libopencv-dev

`

#### Compilation

##### Using make

- Navigate to the src/ directory: `cd src`

- Run the following command to compile both implementations: `make`. This will generate two executables: `reg_grow` and `reg_grow_dir`.

- To clean up the compiled files, use: `make clean`

#### Running the Program

To run the program, use the following command (inside src directory): `./region_grow  ` replace the placeholder with the desired value.

Example: `./region_grow ../images/test-image-rg.jpg 12`

This will execute the region-growing algorithm on the sample image with a threshold value of 12.

#### Result

Here is the original image used for segmentation:

![Original Image](images/test-image-rg.jpg)

Here is the result after applying the region-growing algorithm:

![Segmented Image](images/segmented.jpg)