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This paper presents a study of recognition image of cancer tumors. Specifically, the set of images considered in this article is related to the melanoma, which is a particular type and the most serious skin cancer. Two methods of image segmentation are considered in this work, the threshold and k-means methods. A discussion about the best value of the threshold and the ideal number of clusters for the k-means method is presented, as well as future works. All the simulations were implemented in Python.

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Study on the k-Means and Threshold Methods for Image Segmentation: Application in Melanoma Tumor Recognition

  • 会议论文

  • 发表日期：

    2025年

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  • Beatriz Borges,
  • Vinícius Wasques

摘要

This paper presents a study of recognition image of cancer tumors. Specifically, the set of images considered in this article is related to the melanoma, which is a particular type and the most serious skin cancer. Two methods of image segmentation are considered in this work, the threshold and k-means methods. A discussion about the best value of the threshold and the ideal number of clusters for the k-means method is presented, as well as future works. All the simulations were implemented in Python.