Toward the Labeled Segmentation of Natural Images Using Rough-Set Rules

@inproceedings{NavarroAvila2016TowardTL,
  title={Toward the Labeled Segmentation of Natural Images Using Rough-Set Rules},
  author={Fernando J. Navarro-Avila and Jonathan Cepeda-Negrete and Ra{\'u}l Enrique S{\'a}nchez-Y{\'a}{\~n}ez},
  booktitle={MCPR},
  year={2016}
}
This article introduces an approach that integrates color and texture features for the segmentation of natural images. In order to deal with the vague or imprecise information that is typically shown in this kind of scenes, our method consists in a supervised classifier based on rules obtained using the rough-set theory. Such rough classifier yields a label per pixel using as inputs only three color and three textural features computed separately. These labels are used to carry out the image… CONTINUE READING

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