Detail publikace

Image Processing Based Classification of Enzymatic Browning in Chopped Apples

ARORA, M DUTTA, M. K. TRAVIESO M. C. BURGET R.

Originální název

Image Processing Based Classification of Enzymatic Browning in Chopped Apples

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Apples are one of the most common fruit on the planet. It is rich in iron, fiber, antioxidants and other nutritive quality; which are incredibly important for human body and brain. The quality of an apple gets affected once they are chopped. This paper presents a non-destructive image processing based algorithm that identifies the presence of enzymatic browning in chopped apples for the determination of its nutrients loss. The proposed imperative assemblage of this image processing algorithm makes it flexible, automatic and non-destructive. The quantification of enzymatic browning in chopped apples has been obtained with high precision using this proposed imaging based method. The machine learning based on strategic selection of discriminatory statistical features of chopped apples extracted in wavelet domain makes it a novel approach. 85% of accuracy has been achieved by using machine learning based Support Vector Machine (SVM) classifier.

Klíčová slova

Image segmentation; Feature extraction; Image color analysis;Wavelet domain;Clustering algorithms;Cameras

Autoři

ARORA, M; DUTTA, M. K.; TRAVIESO M. C.; BURGET R.

Vydáno

18. 7. 2018

Nakladatel

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)

Místo

San Carlos, Costa Rica

ISBN

978-1-5386-7506-9

Kniha

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)

Strany od

1

Strany do

8

Strany počet

8

URL

https://ieeexplore.ieee.org/document/8464181

BibTex

@inproceedings{BUT150883,
  author="ARORA, M and DUTTA, M. K. and TRAVIESO M. C. and BURGET R.",
  title="Image Processing Based Classification of Enzymatic Browning in Chopped Apples",
  booktitle="2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)",
  year="2018",
  pages="1--8",
  publisher="2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)",
  address="San Carlos, Costa Rica",
  doi="10.1109/IWOBI.2018.8464181",
  isbn="978-1-5386-7506-9",
  url="https://ieeexplore.ieee.org/document/8464181"
}