A clustering approach to corner point analysis in hand drawn images
A clustering approach to corner point analysis in hand drawn images
Drawing tasks are used widely within neuropsychology for the assessment and monitoring of a variety of conditions. Automated assessment of these tasks improves their repeatability and accuracy in use alongside a reduction in trained therapist resource loading. Using images from test responses collected in an assessment of the condition of visuo-spatial neglect, this paper presents a method utilising a standard corner detection routine (SUSAN) to establish the presence and location of corner points within an image of a drawn geometric shape. It is demonstrated that by applying a series of standard clustering systems to these located corners, the accuracy in terms of number and spatial position of corner points found assessed against actual corner position is improved.
940-943
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, Michael
6a82d154-93fe-4657-bcee-934d5c888192
11 August 2002
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, Michael
6a82d154-93fe-4657-bcee-934d5c888192
Guest, Richard and Fairhurst, Michael
(2002)
A clustering approach to corner point analysis in hand drawn images.
In International Conference on Pattern Recognition (ICPR2002).
.
(doi:10.1109/ICPR.2002.1048191).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Drawing tasks are used widely within neuropsychology for the assessment and monitoring of a variety of conditions. Automated assessment of these tasks improves their repeatability and accuracy in use alongside a reduction in trained therapist resource loading. Using images from test responses collected in an assessment of the condition of visuo-spatial neglect, this paper presents a method utilising a standard corner detection routine (SUSAN) to establish the presence and location of corner points within an image of a drawn geometric shape. It is demonstrated that by applying a series of standard clustering systems to these located corners, the accuracy in terms of number and spatial position of corner points found assessed against actual corner position is improved.
This record has no associated files available for download.
More information
Published date: 11 August 2002
Identifiers
Local EPrints ID: 489411
URI: http://eprints.soton.ac.uk/id/eprint/489411
PURE UUID: ee34c959-d7c0-41a0-9cbb-6826add05589
Catalogue record
Date deposited: 23 Apr 2024 17:17
Last modified: 24 Apr 2024 02:10
Export record
Altmetrics
Contributors
Author:
Richard Guest
Author:
Michael Fairhurst
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics