Extending Ripley’s K-Function to Quantify Aggregation in 2-D Grayscale Images

@inproceedings{Amgad2015ExtendingRK,
  title={Extending Ripley’s K-Function to Quantify Aggregation in 2-D Grayscale Images},
  author={Mohamed Amgad and Anri Itoh and Marco Man Kin Tsui and Ina M Vorberg},
  booktitle={PloS one},
  year={2015}
}
In this work, we describe the extension of Ripley's K-function to allow for overlapping events at very high event densities. We show that problematic edge effects introduce significant bias to the function at very high densities and small radii, and propose a simple correction method that successfully restores the function's centralization. Using… CONTINUE READING