Publication result detail

Automated Visible Range Imaging Scheme to Identify Toxic Substance from Common Starchy Food

YADAV, A; DUTTA, M. K.; BURGET, R.

Original Title

Automated Visible Range Imaging Scheme to Identify Toxic Substance from Common Starchy Food

English Title

Automated Visible Range Imaging Scheme to Identify Toxic Substance from Common Starchy Food

Type

Paper in proceedings (conference paper)

Original Abstract

Toxic substance like acrylamide is a carcinogenic compound which is generally formed in the starchy food item when heated or fried to high temperatures. In the proposed work, a computer vision technique is employed to ascertain the presence of the acrylamide in the fried potato chips. K-means clustering has been used to perform a colour based segmentation of chips pixels from background. Distinct features, like standard deviation and moment,extracted from multi-channels, are fed to a random forest classifier for proper discrimination between acrylamide content potato chips samples and normal potato chips samples.Performance of the developed algorithm is evaluated on the comprehensive database of 80 sample images of the fried potato chips. The accuracy to detect the acrylamide contained potato chips is 95.83% which encourage the use of the proposed algorithm in real time application.

English abstract

Toxic substance like acrylamide is a carcinogenic compound which is generally formed in the starchy food item when heated or fried to high temperatures. In the proposed work, a computer vision technique is employed to ascertain the presence of the acrylamide in the fried potato chips. K-means clustering has been used to perform a colour based segmentation of chips pixels from background. Distinct features, like standard deviation and moment,extracted from multi-channels, are fed to a random forest classifier for proper discrimination between acrylamide content potato chips samples and normal potato chips samples.Performance of the developed algorithm is evaluated on the comprehensive database of 80 sample images of the fried potato chips. The accuracy to detect the acrylamide contained potato chips is 95.83% which encourage the use of the proposed algorithm in real time application.

Keywords

image processing, artificial intelligence, machine learning

Key words in English

image processing, artificial intelligence, machine learning

Authors

YADAV, A; DUTTA, M. K.; BURGET, R.

RIV year

2020

Released

27.10.2018

Publisher

2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)

Location

Ghaziabad, India

ISBN

978-1-5386-0886-9

Book

International Conference on Computational Intelligence & Communication Technology (CICT)

Edition

4th

Pages from

1

Pages to

6

Pages count

6

URL

https://ieeexplore.ieee.org/document/8480363

BibTex

@inproceedings{BUT150882,
  author="YADAV, A and DUTTA, M. K. and BURGET, R.",
  title="Automated Visible Range Imaging Scheme to Identify Toxic Substance from Common Starchy Food",
  booktitle="International Conference on Computational Intelligence & Communication Technology (CICT)",
  year="2018",
  series="4th",
  pages="1--6",
  publisher="2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)",
  address="Ghaziabad, India",
  doi="10.1109/CIACT.2018.8480363",
  isbn="978-1-5386-0886-9",
  url="https://ieeexplore.ieee.org/document/8480363"
}