Zobrazeno 1 - 10 of 70 pro vyhledávání: '"Fraser Macfarlane"'
1
Akademický článek
Leaf only SAM: A segment anything pipeline for zero-shot automated leaf segmentation
Autor: Dominic Williams, Fraser Macfarlane, Avril Britten
Publikováno v: Smart Agricultural Technology, Vol 8, Iss , Pp 100515- (2024)
Segment Anything Model (SAM) is a new “foundation model” that can be used as a zero-shot object segmentation method with the use of either guide prompts such as bounding boxes, polygons, or points. Alternatively, additional post processing steps
Externí odkaz: https://doaj.org/article/da2044b2bb534a75868271f3b0cf95f6
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2
Akademický článek
Investigating the Effects of a Combined Spatial and Spectral Dimensionality Reduction Approach for Aerial Hyperspectral Target Detection Applications
Autor: Fraser Macfarlane, Paul Murray, Stephen Marshall, Henry White
Publikováno v: Remote Sensing, Vol 13, Iss 9, p 1647 (2021)
Target detection and classification is an important application of hyperspectral imaging in remote sensing. A wide range of algorithms for target detection in hyperspectral images have been developed in the last few decades. Given the nature of hyper
Externí odkaz: https://doaj.org/article/4650974cfebe40d4bde8a65d39954528
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3
Robust object detection in colour images using a multivariate percentage occupancy hit-or-miss transform
Autor: Fraser Macfarlane, Paul Murray, Stephen Marshall, Benjamin Perret, Adrian Evans, Henry White
Publikováno v: Mathematical Morphology, Vol 5, Iss 1, Pp 128-152 (2021)
Macfarlane, F, Murray, P, Marshall, S, Perret, B, Evans, A & White, H 2021, ' Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform ', Mathematical Morphology-Theory and Applications, vol. 5, no. 1, pp. 128-152 . https://doi.org/10.1515/mathm-2020-0111
The extension of Mathematical Morphology to colour and multivariate images is challenging due to the need to define a total ordering in the colour space. No one general way of ordering multivariate data exists and, therefore, there is no single, defi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b28552cc0b9d01edcb13f6babe7d958f
https://strathprints.strath.ac.uk/78627/7/Macfarlane_etal_MMTA_2021_Robust_object_detection_in_colour_images.pdf
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4
Investigating the effects of a combined spatial and spectral dimensionality reduction approach for aerial hyperspectral target detection applications
Autor: Stephen Marshall, Henry White, Fraser Macfarlane, Paul Murray
Publikováno v: Remote Sensing
Volume 13
Issue 9
Remote Sensing, Vol 13, Iss 1647, p 1647 (2021)
Target detection and classification is an important application of hyperspectral imaging in remote sensing. A wide range of algorithms for target detection in hyperspectral images have been developed in the last few decades. Given the nature of hyper
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd83fcc24e7f0b98eb2957598a754e3b
https://strathprints.strath.ac.uk/76141/7/Macfarlane_etal_RS_2021_Investigating_the_effects_of_a_combined_spatial_and_spectral_dimensionality_reduction.pdf
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5
Object detection and classification in hyperspectral images using a multi-dimensional hit-or-miss transform
Autor: Fraser Macfarlane, Henry White, Stephen Marshall, Paul Murray
Publikováno v: Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV.
High resolution aerial and satellite borne hyperspectral imagery provides a wealth of information about an imaged scene allowing for many earth observation applications to be investigated. Such applications include geological exploration, soil charac
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac65d26e1386d2b341ae2236f77c5b7f
https://doi.org/10.1117/12.2518103
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6
A colour hit-or-miss transform based on a rank ordered distance measure
Autor: Henry White, Fraser Macfarlane, Stephen Marshall, Paul Murray, Benjamin Perret, Adrian N. Evans
Publikováno v: Macfarlane, F, Murray, P, Marshall, S, Perret, B, Evans, A & White, H 2018, A colour hit-or-miss transform based on a rank ordered distance measure . in Proceedings of 26th European Signal Processing Conference, EUSIPCO 2018 . vol. 2018-September, 8553050, IEEE, pp. 588-592 . https://doi.org/10.23919/EUSIPCO.2018.8553050
EUSIPCO
The Hit-or-Miss Transform (HMT) is a powerful morphological operation that can be utilised in many digital image analysis problems. Its original binary definition and its extension to grey-level images have seen it applied to various template matchin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5351fa2fd0ada894f2d00c46f70aca26
https://strathprints.strath.ac.uk/64578/1/Macfarlane_etal_EUSIPCO_2018_A_colour_hit_or_miss_transform_based_on_a_rank_ordered_distance_measure.pdf
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