Interactive-LAB-Color-Extraction-from-Images-with-Python

Interactive Python tool to extract LAB color values from images with accurate region-based sampling for color analysis

Project Overview

This project is a Python-based application that allows users to extract LAB color values directly from an image by clicking on specific areas.

The system uses region-based sampling and statistical methods to improve measurement accuracy and provide reliable color analysis.

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Objectives

• Extract accurate L, a, b*** color values from images
• Improve measurement stability using local region sampling
• Provide a simple and interactive tool for color analysis

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Features

• Click on image to extract LAB values
• Region-based sampling (instead of single pixel)
• Improved accuracy using median color
• Real-time display of selected points
• Automatic saving of results to Excel

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How It Works

1. Load an image
2. User clicks on a point
3. A small region around the point is analyzed
4. RGB values are extracted
5. RGB is converted into LAB color space
6. Results are saved for analysis

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Output

The system saves results into an Excel file:

X	Y	L	a	b

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Methodology

• RGB → LAB conversion using skimage.color
• Median-based region sampling for robustness
• Localized processing to reduce noise impact
• Optional reflection filtering

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Technologies Used

• Python
• OpenCV
• NumPy
• Scikit-image
• Pandas

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How to Run

1. Install required libraries:
2. run python script: python main.py
3. Click on the image to extract LAB values
4. Results will be saved automatically

Project structure

project/ │ ├── main.py └── README.md ├── requirements.txt ├── sample.jpg ├── lab_color_analysis_example.png

Screenshot

![LAB Color Analyzer] (screenshot.png)

Author

Bilal Lukman Alkrayem

License MIT License