Scene segmentation by cluster detection in color spaces

  title={Scene segmentation by cluster detection in color spaces},
  author={Bruce J. Schachter and Larry S. Davis and Azriel Rosenfeld},
  journal={SIGART Newsletter},
Ohlander [1] has shown that a variety of scenes can be segmented into meaningful parts by histogramming the values of various point or local properties of the scene; extracting the region whose points gave rise to that peak; and repeating the process for the remainder of the scene. A generalization of this histogram analysis approach is to map the points of the scene into a multi-dimensional feature space, and to look for clusters in this space (a histogram is a mapping into a one-dimensional… CONTINUE READING

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