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