Boundary and Object Detection in Real World Images

Abstract

A computer solution to the problem of automatic location of objects in digital pictures is presented. A self-scaling local edge detector that can be applied in parallel on a picture is described. Clustering algorithms and sequential boundary following algorithms process the edge data to local images of objects and generate a data structure that represents the imaged objects.

Cite

Text

Yakimovsky. "Boundary and Object Detection in Real World Images." International Joint Conference on Artificial Intelligence, 1975. doi:10.1145/321978.321981

Markdown

[Yakimovsky. "Boundary and Object Detection in Real World Images." International Joint Conference on Artificial Intelligence, 1975.](https://mlanthology.org/ijcai/1975/yakimovsky1975ijcai-boundary/) doi:10.1145/321978.321981

BibTeX

@inproceedings{yakimovsky1975ijcai-boundary,
  title     = {{Boundary and Object Detection in Real World Images}},
  author    = {Yakimovsky, Yoram},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1975},
  pages     = {695-704},
  doi       = {10.1145/321978.321981},
  url       = {https://mlanthology.org/ijcai/1975/yakimovsky1975ijcai-boundary/}
}