https://github.com/asadiahmad/hit-and-miss

Binary image matrix and applies a series of custom corner and edge detection kernels to identify specific patterns in the image.
https://github.com/asadiahmad/hit-and-miss

corner-detection edge-detection hit-or-miss image-analysis image-processing morphology pattern-detection

Last synced: 17 days ago
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Binary image matrix and applies a series of custom corner and edge detection kernels to identify specific patterns in the image.

• Host: GitHub
• URL: https://github.com/asadiahmad/hit-and-miss
• Owner: AsadiAhmad
• License: mit
• Created: 2025-05-10T17:24:27.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2025-05-11T13:11:16.000Z (about 2 months ago)
• Last Synced: 2025-05-20T16:13:27.056Z (about 1 month ago)
• Topics: corner-detection, edge-detection, hit-or-miss, image-analysis, image-processing, morphology, pattern-detection
• Language: Jupyter Notebook
• Homepage:
• Size: 165 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Hit-and-Miss

Binary image matrix and applies a series of custom corner and edge detection kernels to identify specific patterns in the image.

## 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

- Numpy : Best Library for working with arrays 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/Hit-and-Miss/blob/main/Code/Hit_and_Miss.ipynb)

## 🪪 License

This project is licensed under the MIT License.