Two-Dimensional Clustering Algorithms for Image Segmentation

@inproceedings{Yusoff2011TwoDimensionalCA,
  title={Two-Dimensional Clustering Algorithms for Image Segmentation},
  author={Intan Aidha Yusoff and Nor Ashidi Mat Isa},
  year={2011}
}
This paper introduces modified versions of the K-Means (KM) and Moving K-Means (MKM) clustering algorithms, called the Two-Dimensional K-Means (2D-KM) and Two-Dimensional Moving KMeans (2D-MKM) algorithms respectively. The performances of these two proposed algorithms are compared with three of the commonly used conventional clustering algorithms, namely K-Means (KM), Fuzzy C-Means (FCM), and Moving K-Means (MKM). The new algorithms incorporate the median value of considered pixel intensity… CONTINUE READING