https://github.com/hkedia321/rice-quality-analysis

Classify rice grains by calculating their average length/breadth ratio by using Image processing in python.
https://github.com/hkedia321/rice-quality-analysis

cv2 hacktoberfest image-processing matplotlib numpy python2-7 rice

Last synced: about 2 months ago
JSON representation

Classify rice grains by calculating their average length/breadth ratio by using Image processing in python.

• Host: GitHub
• URL: https://github.com/hkedia321/rice-quality-analysis
• Owner: hkedia321
• Created: 2017-11-06T16:21:46.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2023-05-27T08:49:31.000Z (over 1 year ago)
• Last Synced: 2024-04-17T03:57:49.352Z (9 months ago)
• Topics: cv2, hacktoberfest, image-processing, matplotlib, numpy, python2-7, rice
• Language: Python
• Homepage:
• Size: 802 KB
• Stars: 27
• Watchers: 2
• Forks: 12
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Rice quality analysis through image processing

We analyse the quality of rice by calculating the average length/breadth ratio for each rice grain. We use **Image processing** Based on this ratio, rice quality can be graded. This implementation is based on this [research paper](https://github.com/hkedia321/rice-quality-analysis/blob/master/research-paper.pdf). We are using `openCV`, `numpy`, and `matplotlib` libraries in `Python 2`.

## Running Locally

```

- clone this repo

- install the necessary libraries

- run `python code.py`

```

## Screenshots

![Output](https://github.com/hkedia321/rice-quality-analysis/blob/master/screenshots/images.png)

![Terminal](https://github.com/hkedia321/rice-quality-analysis/blob/master/screenshots/terminal.png)