https://github.com/mdziegielewska/image-analysis-classification-with-glcm
Image analysis and classification techniques using Grey Level Co-occurrence Matrices (GLCM).
https://github.com/mdziegielewska/image-analysis-classification-with-glcm
glcm image-classification image-processing texture-analysis
Last synced: 3 months ago
JSON representation
Image analysis and classification techniques using Grey Level Co-occurrence Matrices (GLCM).
- Host: GitHub
- URL: https://github.com/mdziegielewska/image-analysis-classification-with-glcm
- Owner: mdziegielewska
- Created: 2022-12-17T09:06:14.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-06T15:49:15.000Z (10 months ago)
- Last Synced: 2025-01-20T18:37:37.849Z (4 months ago)
- Topics: glcm, image-classification, image-processing, texture-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 23.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Image-Analysis-Classification-With-GLCM
### Project Overview
This project aims to analyze and classify images using Grey Level Co-occurrence Matrices (GLCM) as a feature extraction method. The goal is to explore the effectiveness of GLCM-based features for image classification tasks.
### Project structure
- _image_classification.ipynb_: Contains the core image classification pipeline.
- _requirements.txt_: Lists project dependencies.
- _test.csv_: Contains test image data and labels.
- _texture_analysis.ipynb_: Implements GLCM feature extraction and analysis.
- _train.csv_: Contains training image data and labels.
### Installation
To set up the project environment, run the following command in your terminal:
```
pip install -r requirements.txt
```