All Outputs (58)

EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning (2024)
Journal Article

Alzheimer's Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer's Disease, with changes detectable at... Read More about EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning.

Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment (2024)
Journal Article

Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or histograms for learning traits of fruit ripeness. Recently, few studies... Read More about Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment.

Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective (2022)
Journal Article

Background and Objective: Diabetes mellitus is a metabolic disorder characterized by hyperglycemia, which results from the inadequacy of the body to secrete and respond to insulin. If not properly managed or diagnosed on time, diabetes can pose a ris... Read More about Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective.

Towards machine vision for insect welfare monitoring and behavioural insights (2022)
Journal Article

Machine vision has demonstrated its usefulness in the livestock industry in terms of improving welfare in such areas as lameness detection and body condition scoring in dairy cattle. In this article, we present some promising results of applying stat... Read More about Towards machine vision for insect welfare monitoring and behavioural insights.

Eye centre localisation with convolutional neural networks in high- and low-resolution images (2022)
Journal Article

Eye centre localisation is critical to eye tracking systems of various forms and with applications in variety of disciplines. An active eye tracking approach can achieve a high accuracy by leveraging active illumination to gain an enhanced contrast o... Read More about Eye centre localisation with convolutional neural networks in high- and low-resolution images.

Towards facial expression recognition for on-farm welfare assessment in pigs (2021)
Journal Article

Animal welfare is not only an ethically important consideration in good animal husbandry but can also have a significant effect on an animal’s productivity. The aim of this paper was to show that a reduction in animal welfare, in the form of increase... Read More about Towards facial expression recognition for on-farm welfare assessment in pigs.

Quantitative potato tuber phenotyping by 3D imaging (2021)
Journal Article

The accurate phenotyping of the external quality attributes of potato tubers is important in potato breeding. Currently, the assessment of potato tuber shape, together with eye density and depth, are based on subjective naked eye visual evaluation. H... Read More about Quantitative potato tuber phenotyping by 3D imaging.

The quiet revolution in machine vision - A state-of-the-art survey paper, including historical review, perspectives, and future directions (2021)
Journal Article

Over the past few years, what might not unreasonably be described as a true revolution has taken place in the field of machine vision, radically altering the way many things had previously been done and offering new and exciting opportunities for tho... Read More about The quiet revolution in machine vision - A state-of-the-art survey paper, including historical review, perspectives, and future directions.

A computer vision approach to improving cattle digestive health by the monitoring of faecal samples (2020)
Journal Article

The digestive health of cows is one of the primary factors that determine their well-being and productivity. Under- and over-feeding are both commonplace in the beef and dairy industry; leading to welfare issues, negative environmental impacts, and e... Read More about A computer vision approach to improving cattle digestive health by the monitoring of faecal samples.

Optical Imaging Technology In Colonoscopy - Is There A Role For Photometric Stereo (2020)
Journal Article

Abstract
Colonoscopy screening for the detection and removal of colonic adenomas is central to efforts to reduce the morbidity and mortality of colorectal cancer. However, up to a third of adenomas may be missed at colonoscopy, and the majority of p... Read More about Optical Imaging Technology In Colonoscopy - Is There A Role For Photometric Stereo.

Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape (2019)
Journal Article

Background: The use of spectral imaging within the plant phenotyping and breeding community has been increasing due its utility as a non-invasive diagnostic tool. However, there is a lack of imaging systems targeted specifically at plant science duti... Read More about Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape.

A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth (2019)
Journal Article

© The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distri... Read More about A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth.

Vanishing point detection for visual surveillance systems in railway platform environments (2018)
Journal Article

© 2018 Elsevier B.V. Visual surveillance is of paramount importance in public spaces and especially in train and metro platforms which are particularly susceptible to many types of crime from petty theft to terrorist activity. Image resolution of vis... Read More about Vanishing point detection for visual surveillance systems in railway platform environments.

Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems (2018)
Journal Article

© 2018 Recent years have shown enthusiastic research interest in weed classification for selective herbicide sprayer systems which are helpful in eradicating unwanted plants such as weeds from fields, minimizing the side effects of chemicals on the e... Read More about Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems.

Towards on-farm pig face recognition using convolutional neural networks (2018)
Journal Article

© 2018 Elsevier B.V. Identification of individual livestock such as pigs and cows has become a pressing issue in recent years as intensification practices continue to be adopted and precise objective measurements are required (e.g. weight). Current b... Read More about Towards on-farm pig face recognition using convolutional neural networks.

A novel model and method based on Nash equilibrium for medical image segmentation (2018)
Journal Article

Accurate image segmentation is a very important task in medical image analysis as it can help us to better distinguish tumours from normal tissues. One of the important features of MRI images of glioma (a kind of brain tumour) is that the tumour shap... Read More about A novel model and method based on Nash equilibrium for medical image segmentation.

Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field (2018)
Journal Article

© 2018 Elsevier B.V. Machine vision systems offer great potential for automating crop control, harvesting, fruit picking, and a range of other agricultural tasks. However, most of the reported research on machine vision in agriculture involves a 2D a... Read More about Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field.

Photometric stereo for three-dimensional leaf venation extraction (2018)
Journal Article

© 2018 Elsevier B.V. Leaf venation extraction studies have been strongly discouraged by considerable challenges posed by venation architectures that are complex, diverse and subtle. Additionally, unpredictable local leaf curvatures, undesirable ambie... Read More about Photometric stereo for three-dimensional leaf venation extraction.

Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device (2018)
Journal Article

© 2018 Here we propose a low-cost automated system for the unobtrusive and continuous welfare monitoring of dairy cattle on the farm. We argue that effective and regular monitoring of multiple condition traits is not currently practicable and go on t... Read More about Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device.

BRDF of human skin in the visible spectrum (2017)
Journal Article

© Emerald Publishing Limited. Purpose - Significant research has been carried out in terms of development of new bidirectional reflectance distribution function (BRDF) instruments; however, there is still little research available regarding spectral... Read More about BRDF of human skin in the visible spectrum.