Structure-Guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images

@article{Scharfenberger2015StructureGuidedST,
  title={Structure-Guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images},
  author={Christian Scharfenberger and Alexander Wong and David A. Clausi},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2015},
  volume={24 1},
  pages={457-70}
}
We propose a simple yet effective structure-guided statistical textural distinctiveness approach to salient region detection. Our method uses a multilayer approach to analyze the structural and textural characteristics of natural images as important features for salient region detection from a scale point of view. To represent the structural characteristics, we abstract the image using structured image elements and extract rotational-invariant neighborhood-based textural representations to… CONTINUE READING

From This Paper

Topics from this paper.
2 Citations
0 References
Similar Papers

Similar Papers

Loading similar papers…