UNVEILING THE POWER OF K-MEANS IMAGE SEGMENTATION ALGORITHM: A COMPREHENSIVE REVIEW

Authors

  • M.A Sattarov Samarkand branch of Tashkent University of Information Technologies Named After Muhammad al-Khwarizmi,
  • N Xaniyev Samarkand branch of Tashkent University of Information Technologies Named After Muhammad al-Khwarizmi,
  • A.K Mardanov Samarkand branch of Tashkent University of Information Technologies Named After Muhammad al-Khwarizmi

Keywords:

image, segmentation, k-means, algorithm, clustering.

Abstract

Image segmentation is a crucial step in computer vision and image processing, serving as the foundation for various applications such as object recognition, medical imaging, and autonomous vehicles. Among the plethora of image segmentation techniques, the K-Means algorithm has gained significant attention for its simplicity, efficiency, and versatility. This article provides a comprehensive review of the K-Means Image Segmentation Algorithm, delving into its principles, applications, strengths, weaknesses, and recent advancements.

References

Karshiyev Z.A., Kholod I. Block structure of data mining algorithms. 2016 International Conference on Information Science and Communications Technologies (ICISCT). IEEE-2016, 1-3 pp.

R Khamdamov, K Rakhmanov, E Saliev, Z Karshiyev. Advantages using of the contour analysis method for detecting fire from video images. 2021 International Conference on Information Science and Communications Technologies (ICISCT)

Ш.Т. Ходжаев, М.А. Саттаров. Формирование алгоритма идентификации и оценки показателей функционирования сложного газопровода. Science Time 2 (38) 2017. 375-381.

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Published

2023-12-22

How to Cite

Sattarov , M., Xaniyev , N., & Mardanov , A. (2023). UNVEILING THE POWER OF K-MEANS IMAGE SEGMENTATION ALGORITHM: A COMPREHENSIVE REVIEW. Educational Research in Universal Sciences, 2(17 SPECIAL), 119–122. Retrieved from http://erus.uz/index.php/er/article/view/5156