# Image-Segmentation

**Repository Path**: ll202324/Image-Segmentation

## Basic Information

- **Project Name**: Image-Segmentation
- **Description**: Unsupervised learning technique to reduce the number of color points in an image using K-means
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-03-09
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Language used: Python
Libraries used: Pandas,cv2

Compile steps:
- Install Python 3.6
- Set environment variable ('Path')
- Open command prompt
- Go to directory containing .py file
- Run the following command

	python ImageSegmentation.py <image file name with format> <Number of clusters>

	Sample command for random selection method:
	
		python ImageSegmentation.py "image1.jpg" 8

Resulted file will be saved as <filename>_result.jpg in the same folder