haralickCluster: k-medoids clustering of images according to the Haralick...

In biopixR: Extracting Insights from Biological Images

k-medoids clustering of images according to the Haralick features

Description

This function performs k-medoids clustering on images using Haralick features, which describe texture. By evaluating contrast, correlation, entropy, and homogeneity, it groups images into clusters with similar textures. K-medoids is chosen for its outlier resilience, using actual images as cluster centers. This approach simplifies texture-based image analysis and classification.

Usage

haralickCluster(path)

Arguments

path	directory path to folder with images to be analyzed

Value

data.frame containing file names, md5sums and cluster number.

References

https://cran.r-project.org/package=radiomics

Examples

  path2dir <- system.file("images", package = 'biopixR')
  result <- haralickCluster(path2dir)
  print(result)

biopixR documentation built on April 4, 2025, 1:07 a.m.