ltlbp 1.1.1

Logarithmic Transformation based Local Binary Pattern (LT-LBP) for Medical Image Analysis

LT-LBP: Logarithmic Transformation Local Binary Pattern

LT-LBP (Logarithmic Transformation – Local Binary Pattern) is a lightweight Python library for texture analysis and feature extraction from grayscale images.

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Mathematical Definition

$$ LT{-}LBP = \sum_{p=0}^{7} s(g_c - g_p) \cdot p $$

where:

s(x) = 1 if x > 0
s(x) = 0 otherwise

Here, g_c is the center pixel intensity and g_p are its 8 neighboring pixels (clockwise).

This method is robust for illuminated and low-light images, making it ideal for applications in:

• Face recognition
• Texture classification
• Medical image analysis
• Surveillance
• Industrial inspection

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Features

• Compute LT-LBP for any grayscale image
• Generate normalized histogram feature vectors for machine learning models
• Fully vectorized NumPy implementation
• Lightweight and easy to integrate
• Suitable for research and reproducible experiments

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Installation

pip install ltlbp


## License

MIT License



## Citation

If you use LT-LBP in your research, please cite:

@article{pankaja2023ltlbp,
  title   = {LT-LBP-Based Spatial Texture Feature Extraction with Deep Learning for X-Ray Images},
  author  = {Lakshmi, Pankaja and Sivagami, M.},
  journal = {Journal of Computer Science},
  volume  = {20},
  number  = {1},
  pages   = {106--120},
  year    = {2023},
  doi     = {10.3844/jcssp.2024.106.120},
  url     = {https://thescipub.com/abstract/jcssp.2024.106.120}
}

The LT-LBP Python implementation is publicly available at:
https://pypi.org/project/ltlbp/