https://github.com/asadiahmad/sun-flower-counter

Automatically counts the number of sunflowers in an image using computer vision techniques with OpenCV
https://github.com/asadiahmad/sun-flower-counter

hsv-color-detection image-processing morphology object-counting opencv

Last synced: about 1 month ago
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Automatically counts the number of sunflowers in an image using computer vision techniques with OpenCV

• Host: GitHub
• URL: https://github.com/asadiahmad/sun-flower-counter
• Owner: AsadiAhmad
• License: mit
• Created: 2025-05-10T09:36:46.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-05-11T13:07:23.000Z (5 months ago)
• Last Synced: 2025-06-10T10:47:07.087Z (4 months ago)
• Topics: hsv-color-detection, image-processing, morphology, object-counting, opencv
• Language: Jupyter Notebook
• Homepage:
• Size: 1.56 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Sun-Flower-Counter

This project automatically counts the number of sunflowers in an image using computer vision techniques with OpenCV. It filters colors in HSV space, applies preprocessing (grayscale, binarization, erosion, dilation), and uses connected components to detect individual flowers.

## Tech :hammer_and_wrench: Languages and Tools :



   

   

   

   

   

   



- Python : Popular language for implementing Neural Network

- Jupyter Notebook : Best tool for running python cell by cell

- Google Colab : Best Space for running Jupyter Notebook with hosted server

- OpenCV : Best Library for working with images

- Numpy : Best Library for working with arrays in python

- MatPlotLib : Library for showing the charts in python

## 💻 Run the Notebook on Google Colab

You can easily run this code on google colab by just clicking this badge [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AsadiAhmad/Sun-Flower-Counter/blob/main/Code/Sun_Flower_Counter.ipynb)

## 🪪 License

This project is licensed under the MIT License.