Unsupervised Image Segmentation Using a Hierarchical Clustering Selection Process

@inproceedings{Us2006UnsupervisedIS,
  title={Unsupervised Image Segmentation Using a Hierarchical Clustering Selection Process},
  author={Adolfo Mart{\'i}nez Us{\'o} and Filiberto Pla and Pedro Garc{\'i}a-Sevilla},
  booktitle={SSPR/SPR},
  year={2006}
}
In this paper we present an unsupervised algorithm to select the most adequate grouping of regions in an image using a hierarchical clustering scheme. Then, we introduce an optimisation approach for the whole process. The grouping method presented is based on the maximisation of a measure that represents the perceptual decision. The whole strategy takes profit from a hierarchical clustering to find a maximum of the proposed criterion. The algorithm has been used to segment real images as well… CONTINUE READING