Formulation of an improved hyperspectral image processing algorithm for food quality monitoring

QR Code

Formulation of an improved hyperspectral image processing algorithm for food quality monitoring

Sarawak's sago flour industry suffers from food fraud using whitening chemicals. This study uses Vis-NIR hyperspectral imaging and machine learning to rapidly detect adulterants. PLSR and PCR models excel in detecting calcium carbonate and alloxan monohydrate, respectively. A novel ensemble-bas...

Full description

Bibliographic Details
Main Author:	Das, Mainak
Format:	Thesis
Published:	Curtin University 2024
Online Access:	http://hdl.handle.net/20.500.11937/96327

Similar Items

Quality monitoring of glutinous rice processing from drying to extended storage using hyperspectral imaging
by: Ageh, Opeyemi Micheal, et al.
Published: (2024)

Hyperspectral image processing system
by: Mahmouei, Sahar Sabbaghi
Published: (2012)

A review-implementations of hyperspectral images technology for food safety and quality
by: Alias, Aminah, et al.
Published: (2016)

Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis
by: Jimoh, Kabiru Ayobami, et al.
Published: (2024)

NIR hyperspectral imaging for predicting the composition of granular food commodities
by: Caporaso, Nicola
Published: (2018)

An approach to a pseudo real-time image processing engine for hyperspectral imaging
by: Mahmouei, Sahar Sabbaghi, et al.
Published: (2010)

Application of calibrations to hyperspectral images of food grains: example for wheat falling number
by: Caporaso, Nicola, et al.
Published: (2017)

Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images
by: Hamedianfar, Alireza, et al.
Published: (2014)

Product Quality Estimation of Sago (Metroxylon sagu) Based on Hyperspectral Imaging and Multivariate Image Analysis
by: Lee, Ming Hao
Published: (2024)

Improving Hyperspectral Image Consistency for Vegetation Classification over the Port Hedland Coastal Region
by: Bos, Shawn Henson
Published: (2020)

Near infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains
by: Caporaso, Nicola, et al.
Published: (2018)

Determination and monitoring of vegetation stress using hyperspectral remote sensing
by: Sani, Yahaya
Published: (2013)

Mapping and monitoring the environmental impacts of mining using hyperspectral data
by: Ong, Cindy Chin Hui
Published: (2014)

Optical sectioning in multi-foci Raman hyperspectral imaging
by: Liao, Zhiyu, et al.
Published: (2018)

Precision Forestry Using Airborne Hyperspectral Imaging Sensor
by: Jusoff, Kamaruzaman
Published: (2009)

Parallelization Of CCSDS Hyperspectral Image Compression Using C++
by: Tan, Lit Chez
Published: (2018)

Monitoring Social Distancing Compliance Using Image Processing Algorithm
by: Lai, Yi Lun, et al.
Published: (2022)

Comparative study on hyperspectral image enhancement for low illumination outdoor scenes images
by: Quan, Lee Yong, et al.
Published: (2022)

Strategies for MCR image analysis of large hyperspectral data-sets
by: Scurr, David J., et al.
Published: (2012)

Application of deep learning approaches in igneous rock hyperspectral imaging
by: Sinaice, Brian, et al.
Published: (2019)

A spatial information measure method for hyperspectral image visualization
by: Amankwah, A., et al.
Published: (2015)

A review on application of hyperspectral imaging to forest resources in Malaysia
by: Ismail, Mohd Hasmadi, et al.
Published: (2009)

Airborne Hyperspectral Imaging for Mapping of Pavement Cracks on Malaysian Highways
by: Jusoff, Kamaruzaman, et al.
Published: (2008)

Aerial inventory of fragmented forest using airborne hyperspectral imaging
by: Mohd Sood, Alias, et al.
Published: (2012)

Spectral band configuration for airborne hyperspectral imaging of tropical forest.
by: Nuruddin, Ahmad Ainuddin, et al.
Published: (2009)

Formulation improvement, process development, and quality assessment of chili shrimp paste
by: Sobhi, Babak
Published: (2012)

Advanced Processing of UPM-APSB’s AISA Airborne Hyperspectral Images for Individual Timber Species Identification and Mapping
by: Jusoff, Kamaruzaman
Published: (2007)

Protein content prediction in single wheat kernels using hyperspectral imaging
by: Caporaso, Nicola, et al.
Published: (2018)

Early detection of stress in strawberry plants using hyperspectral image analysis
by: Lowe, Amy
Published: (2018)

Using hyperspectral imaging to determine germination of native Australian plant seeds
by: Nansen, C., et al.
Published: (2015)

ICE: A new method for the multivariate curve resolution of hyperspectral images
by: Berman, M., et al.
Published: (2009)

Land use and cover mapping with airbone hyperspectral imager in Setiu, Malaysia.
by: Jusoff, Kamaruzaman
Published: (2009)

Integration of image processing algorithm and deep learning approaches to monitor ginger plant
by: Tan, Cheng Yong
Published: (2024)

Pre-processing and classification of airborne hyperspectral data for wetlands mapping
by: Lau, Alvin Meng Shin
Published: (2004)

Towards an automated approach for detecting P. ramorum in Welsh forests with hyperspectral imaging
by: Causon, Matthew
Published: (2024)

Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images
by: Arellano, Paul, et al.
Published: (2015)

Label-free Raman hyperspectral imaging of single cells cultured on polymer substrates
by: Sinjab, Faris, et al.
Published: (2017)

Hyperspectral Imaging for Detecting Authenticity and Geographical Origin of Sarawak Ground Black Pepper
by: Chia, Terence Yi Kai
Published: (2021)

Spectral separability of tropical forest tree species using airbone hyperspectral imager
by: Jusoff, Kamaruzaman, et al.
Published: (2009)

A comparison of hyperspectral data and worldview-2 images to detect impervious surface.
by: Taherzadeh, Ebrahim, et al.
Published: (2012)

Cannot write session to /tmp/vufind_sessions/sess_3j33p0lkvp8d69vu6o7gqtqii8