Understanding the effect of Smartphone cameras on estimating Munsell Soil Color from imagery

Ricky Sinclair; Ashad Kabir

doi:10.48550/arXiv.2210.06667

Understanding the effect of Smartphone cameras on estimating Munsell Soil Color from imagery

Ricky Sinclair, Ashad Kabir

Charles Sturt University

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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Abstract

The Munsell soil color chart (MSCC) is a in laboratories under controlled conditions. To support an app based solution, this paper explores three research areas including: (i) identifying the most effective color space, (ii) establishing then important reference for many professionals in the area of soil color analysis. Currently, the functionality to identify Munsell soil colors (MSCs) automatically from an image is only feasible color difference calculation method with the highest accuracy and (iii) evaluating the effects of smartphone cameras on estimating the MSCs. The existing methods that we have analysed have returned promising results and will help inform other researchers to better understand and develop informed solutions. This study provides both researchers and developers with an insight into the best methods for automatically predicting MSCs. Future research is needed to improve the reliability of results under differing environmental conditions.

Original language	English
Title of host publication	International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Publisher	IEEE Xplore
Number of pages	8
DOIs	https://doi.org/10.48550/arXiv.2210.06667 https://doi.org/10.1109/DICTA56598.2022.10034624
Publication status	Accepted/In press - 10 Feb 2023
Event	International Conference on Digital Image Computing: Techniques and Applications 2022: DICTA 2022 - Rydges World Square, Sydney, Australia Duration: 30 Nov 2022 → 02 Dec 2022 http://dicta2022.dictaconference.org/ (Conference website) http://dicta2022.dictaconference.org/full_program.html#oral4 (Program) https://ieeexplore.ieee.org/xpl/conhome/10034558/proceeding (Conference proceedings)

Conference

Conference	International Conference on Digital Image Computing: Techniques and Applications 2022
Country/Territory	Australia
City	Sydney
Period	30/11/22 → 02/12/22
Other	The International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).
Internet address	http://dicta2022.dictaconference.org/ (Conference website) http://dicta2022.dictaconference.org/full_program.html#oral4 (Program) https://ieeexplore.ieee.org/xpl/conhome/10034558/proceeding (Conference proceedings)

Access to Document

Honours dissertation "Estimating Munsell Soil Colour using Smartphones"
Ashad Kabir (Principal Supervisor)
2021 → 2022
Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

Cite this

@inproceedings{4367dbb0fe4e4f50bcd5e2087c551b57,

title = "Understanding the effect of Smartphone cameras on estimating Munsell Soil Color from imagery",

abstract = "The Munsell soil color chart (MSCC) is a in laboratories under controlled conditions. To support an app based solution, this paper explores three research areas including: (i) identifying the most effective color space, (ii) establishing then important reference for many professionals in the area of soil color analysis. Currently, the functionality to identify Munsell soil colors (MSCs) automatically from an image is only feasible color difference calculation method with the highest accuracy and (iii) evaluating the effects of smartphone cameras on estimating the MSCs. The existing methods that we have analysed have returned promising results and will help inform other researchers to better understand and develop informed solutions. This study provides both researchers and developers with an insight into the best methods for automatically predicting MSCs. Future research is needed to improve the reliability of results under differing environmental conditions.",

author = "Ricky Sinclair and Ashad Kabir",

year = "2023",

month = feb,

day = "10",

doi = "10.48550/arXiv.2210.06667",

language = "English",

booktitle = "International Conference on Digital Image Computing: Techniques and Applications (DICTA)",

publisher = "IEEE Xplore",

note = "International Conference on Digital Image Computing: Techniques and Applications 2022 : DICTA 2022 ; Conference date: 30-11-2022 Through 02-12-2022",

url = "http://dicta2022.dictaconference.org/, http://dicta2022.dictaconference.org/full_program.html#oral4, https://ieeexplore.ieee.org/xpl/conhome/10034558/proceeding",

}

Sinclair, R & Kabir, A 2023, Understanding the effect of Smartphone cameras on estimating Munsell Soil Color from imagery. in International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE Xplore, International Conference on Digital Image Computing: Techniques and Applications 2022, Sydney, New South Wales, Australia, 30/11/22. https://doi.org/10.48550/arXiv.2210.06667, https://doi.org/10.1109/DICTA56598.2022.10034624

TY - GEN

T1 - Understanding the effect of Smartphone cameras on estimating Munsell Soil Color from imagery

AU - Sinclair, Ricky

AU - Kabir, Ashad

PY - 2023/2/10

Y1 - 2023/2/10

N2 - The Munsell soil color chart (MSCC) is a in laboratories under controlled conditions. To support an app based solution, this paper explores three research areas including: (i) identifying the most effective color space, (ii) establishing then important reference for many professionals in the area of soil color analysis. Currently, the functionality to identify Munsell soil colors (MSCs) automatically from an image is only feasible color difference calculation method with the highest accuracy and (iii) evaluating the effects of smartphone cameras on estimating the MSCs. The existing methods that we have analysed have returned promising results and will help inform other researchers to better understand and develop informed solutions. This study provides both researchers and developers with an insight into the best methods for automatically predicting MSCs. Future research is needed to improve the reliability of results under differing environmental conditions.

AB - The Munsell soil color chart (MSCC) is a in laboratories under controlled conditions. To support an app based solution, this paper explores three research areas including: (i) identifying the most effective color space, (ii) establishing then important reference for many professionals in the area of soil color analysis. Currently, the functionality to identify Munsell soil colors (MSCs) automatically from an image is only feasible color difference calculation method with the highest accuracy and (iii) evaluating the effects of smartphone cameras on estimating the MSCs. The existing methods that we have analysed have returned promising results and will help inform other researchers to better understand and develop informed solutions. This study provides both researchers and developers with an insight into the best methods for automatically predicting MSCs. Future research is needed to improve the reliability of results under differing environmental conditions.

U2 - 10.48550/arXiv.2210.06667

DO - 10.48550/arXiv.2210.06667

M3 - Conference paper

BT - International Conference on Digital Image Computing: Techniques and Applications (DICTA)

PB - IEEE Xplore

T2 - International Conference on Digital Image Computing: Techniques and Applications 2022

Y2 - 30 November 2022 through 2 December 2022

ER -

Understanding the effect of Smartphone cameras on estimating Munsell Soil Color from imagery

Abstract

Conference

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Activities

Honours dissertation "Estimating Munsell Soil Colour using Smartphones"

Cite this