ML Anthology

Insect Soup Challenge: Segmentation, Counting, and Simple Classification

Katarina Mele
ICCVW 2013 pp. 168-171
doi:10.1109/ICCVW.2013.28 /iccvw/2013/mele2013iccvw-insect/

Abstract

In the paper we present a method for segmentation of insects from the Insect Soup images. The method enables reliable segmentation of insects of variable size, shape and color. After segmentation, a set of properties are assigned to each segmented insect which enables classification into different categories. The approach was successfully applied on two different types of real life images: images from the Insect Soup Challenge and images acquired from traps in the field using low resolution cameras.

ICCVW Semantic Scholar

Cite

Text

Mele. "Insect Soup Challenge: Segmentation, Counting, and Simple Classification." IEEE/CVF International Conference on Computer Vision Workshops, 2013. doi:10.1109/ICCVW.2013.28

Markdown

[Mele. "Insect Soup Challenge: Segmentation, Counting, and Simple Classification." IEEE/CVF International Conference on Computer Vision Workshops, 2013.](https://mlanthology.org/iccvw/2013/mele2013iccvw-insect/) doi:10.1109/ICCVW.2013.28

BibTeX

@inproceedings{mele2013iccvw-insect,
  title     = {{Insect Soup Challenge: Segmentation, Counting, and Simple Classification}},
  author    = {Mele, Katarina},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2013},
  pages     = {168-171},
  doi       = {10.1109/ICCVW.2013.28},
  url       = {https://mlanthology.org/iccvw/2013/mele2013iccvw-insect/}
}