Classification of Human Blood Cells Based on Subtypes Using Linear Discriminant Analysis on Microscope Images

Authors

  • Raihan Herlambang Informatics Engineering Study Program, Faculty of Science and Technology, Muhammadiyah University of Sukabumi, Indonesia
  • Asril Adi Sunarto Informatics Engineering Study Program, Faculty of Science and Technology, Muhammadiyah University of Sukabumi, Indonesia
  • Fathia Frazna Azzahra Informatics Engineering Study Program, Faculty of Science and Technology, Muhammadiyah University of Sukabumi, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v7i1.5290

Keywords:

Blood Cell Classification, Linear Discriminant Analysis (LDA), Knowledge Discovery in Databases (KDD), Gray Level Co-occurrence Matrix (GLCM), Digital Image Processing

Abstract

This study aims to develop an automated classification system for human blood cells using microscopic images to improve the accuracy of subtype identification. To overcome the limitations of manual classification, the research adopts an artificial intelligence approach using the Linear Discriminant Analysis (LDA) algorithm, chosen for its effectiveness in dimensionality reduction and data group separation. The study follows the Knowledge Discovery in Databases (KDD) methodology, involving data selection, preprocessing (normalization, enhancement, segmentation, and noise removal), feature extraction using the Gray Level Co-occurrence Matrix (GLCM), and classification into eight blood cell types. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score. The research aims to contribute to more efficient and accurate medical image classification systems and demonstrate the potential of LDA in AI-based medical applications.

References

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Published

2025-10-17

How to Cite

Herlambang, R., Sunarto, A. A., & Azzahra, F. F. (2025). Classification of Human Blood Cells Based on Subtypes Using Linear Discriminant Analysis on Microscope Images. Dinasti International Journal of Education Management and Social Science, 7(1), 339–351. https://doi.org/10.38035/dijemss.v7i1.5290

Issue

Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (October - November 2025)

Section

Articles

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Copyright (c) 2025 Raihan Herlambang, Asril Adi Sunarto, Fathia Frazna Azzahra

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