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EURASIP Journal on Advances in Signal Processing
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Process Neural Network Method: Case Study I: Discrimination of Sweet Red Peppers Prepared by Different Methods

EURASIP Journal on Advances in Signal Processing volume 2011, Article number: 290950 (2011) Cite this article

Abstract

This study utilized a feed-forward neural network model along with computer vision techniques to discriminate sweet red pepper products prepared by different methods such as freezing and pureeing. The differences among the fresh, frozen and pureed samples are investigated by studying their bio-crystallogram images. The dissimilarity in visually analyzed bio-crystallogram images are defined as the distribution of crystals on the circular glass underlay and the thin or the thick structure of crystal needles. However, the visual description and definition of bio-crystallogram images has major disadvantages. A methodology called process neural network (ProcNN) has been studied to overcome these shortcomings.

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Authors and Affiliations

  1. Food Engineering Department, Izmir Institute of Technology, 35430, Izmir, Turkey

    Sevcan Unluturk

  2. Department of Software Engineering, Izmir University of Economics, Sakarya Caddesi No. 156 Balcova, 35330, Izmir, Turkey

    Mehmet S. Unluturk

  3. Food Engineering Department, Ege University, 35040, Izmir, Turkey

    Fikret Pazir

  4. Faculty of Agriculture, Suleyman Demirel University, 32260, Isparta, Turkey

    Alper Kuscu

Authors
  1. Sevcan Unluturk
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  2. Mehmet S. Unluturk
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  3. Fikret Pazir
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  4. Alper Kuscu
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Corresponding author

Correspondence to Mehmet S. Unluturk.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Unluturk, S., Unluturk, M.S., Pazir, F. et al. Process Neural Network Method: Case Study I: Discrimination of Sweet Red Peppers Prepared by Different Methods. EURASIP J. Adv. Signal Process. 2011, 290950 (2011). https://doi.org/10.1155/2011/290950

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  • DOI: https://doi.org/10.1155/2011/290950

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