The use of hyperspectral imaging for cake moisture prediction

A. Polak, F. Coutts, P. Murray, D. J. M. Stothard, S. Marshall

Research output: Contribution to conferenceAbstract

Abstract

In this paper, hyperspectral imaging is demonstrated to be a valid method for predicting the moisture content of baked sponge cakes. The application of this technology in the cake production environment, empowered by sophisticated signal & image processing techniques and prediction algorithms has the potential to provide on-line, real-time, non-destructive cake moisture monitoring.

Conference

ConferenceCDT Applied Photonics Annual Conference
CountryUnited Kingdom
CityEdinburgh
Period23/06/1723/06/17

Fingerprint

Moisture
Image processing
Monitoring
Hyperspectral imaging

Keywords

  • hyperspectral imaging
  • non-destructive tesing
  • cake moisture

Cite this

Polak, A., Coutts, F., Murray, P., Stothard, D. J. M., & Marshall, S. (2017). The use of hyperspectral imaging for cake moisture prediction. Abstract from CDT Applied Photonics Annual Conference, Edinburgh, United Kingdom.
Polak, A. ; Coutts, F. ; Murray, P. ; Stothard, D. J. M. ; Marshall, S. / The use of hyperspectral imaging for cake moisture prediction. Abstract from CDT Applied Photonics Annual Conference, Edinburgh, United Kingdom.1 p.
@conference{20a8868596b3484496f35a7c7d0a438d,
title = "The use of hyperspectral imaging for cake moisture prediction",
abstract = "In this paper, hyperspectral imaging is demonstrated to be a valid method for predicting the moisture content of baked sponge cakes. The application of this technology in the cake production environment, empowered by sophisticated signal & image processing techniques and prediction algorithms has the potential to provide on-line, real-time, non-destructive cake moisture monitoring.",
keywords = "hyperspectral imaging, non-destructive tesing, cake moisture",
author = "A. Polak and F. Coutts and P. Murray and Stothard, {D. J. M.} and S. Marshall",
year = "2017",
month = "6",
day = "23",
language = "English",
note = "CDT Applied Photonics Annual Conference ; Conference date: 23-06-2017 Through 23-06-2017",

}

Polak, A, Coutts, F, Murray, P, Stothard, DJM & Marshall, S 2017, 'The use of hyperspectral imaging for cake moisture prediction' CDT Applied Photonics Annual Conference, Edinburgh, United Kingdom, 23/06/17 - 23/06/17, .

The use of hyperspectral imaging for cake moisture prediction. / Polak, A.; Coutts, F.; Murray, P.; Stothard, D. J. M.; Marshall, S.

2017. Abstract from CDT Applied Photonics Annual Conference, Edinburgh, United Kingdom.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - The use of hyperspectral imaging for cake moisture prediction

AU - Polak, A.

AU - Coutts, F.

AU - Murray, P.

AU - Stothard, D. J. M.

AU - Marshall, S.

PY - 2017/6/23

Y1 - 2017/6/23

N2 - In this paper, hyperspectral imaging is demonstrated to be a valid method for predicting the moisture content of baked sponge cakes. The application of this technology in the cake production environment, empowered by sophisticated signal & image processing techniques and prediction algorithms has the potential to provide on-line, real-time, non-destructive cake moisture monitoring.

AB - In this paper, hyperspectral imaging is demonstrated to be a valid method for predicting the moisture content of baked sponge cakes. The application of this technology in the cake production environment, empowered by sophisticated signal & image processing techniques and prediction algorithms has the potential to provide on-line, real-time, non-destructive cake moisture monitoring.

KW - hyperspectral imaging

KW - non-destructive tesing

KW - cake moisture

M3 - Abstract

ER -

Polak A, Coutts F, Murray P, Stothard DJM, Marshall S. The use of hyperspectral imaging for cake moisture prediction. 2017. Abstract from CDT Applied Photonics Annual Conference, Edinburgh, United Kingdom.