Dense segmentation of textured fruits in video sequences

@article{Qureshi2014DenseSO,
  title={Dense segmentation of textured fruits in video sequences},
  author={Waqar S. Qureshi and Shin'ichi Satoh and Matthew N. Dailey and Mongkol Ekpanyapong},
  journal={2014 International Conference on Computer Vision Theory and Applications (VISAPP)},
  year={2014},
  volume={2},
  pages={441-447}
}
Autonomous monitoring of fruit crops based on mobile camera sensors requires methods to segment fruit regions from the background in images. Previous methods based on color and shape cues have been successful in some cases, but the detection of textured green fruits among green plant material remains a challenging problem. A recently proposed method uses sparse keypoint detection, keypoint descriptor computation, and keypoint descriptor classification followed by morphological techniques to… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 13 REFERENCES

Detecting tomato crops in greenhouses using a vision based method

  • G. Schillaci, A. Pennisi, F. Franco, D. Longo
  • In International Conference on Safety, Health and…
  • 2012
2 Excerpts