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Detecting small objects in high-resolution images with integral Fisher score
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Leyva, Roberto, Sanchez Silva, Victor and Li, Chang-Tsun (2018) Detecting small objects in high-resolution images with integral Fisher score. In: 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 7-10 Oct 2018 pp. 316-320. ISBN 9781479970612. doi:10.1109/ICIP.2018.8451677 ISSN 2381-8549.
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WRAP-detecting-small-objects-high-resolution-imagesintegral-Fisher-score-Li-2018.pdf - Accepted Version - Requires a PDF viewer. Download (4044Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/ICIP.2018.8451677
Abstract
Nowadays, big imaging data are very common in many fields of study. As a result, detecting small objects in very large images is challenging and computationally demanding. Taking advantage of the intrinsic cumulative properties of the Fisher Score, we propose the Integral Fisher Score (IFS) for low complexity and accurate object detection in big imaging data. The IFS, which is a multi-dimensional extension of the Integral Image, allows computing the Fisher Vector associated with a spatial region using only four operations. This considerably reduces the computational cost of searching for a small query object on a very large target image. Evaluations for the detection of small object on high-resolution HUB telescope and digital pathology images show that IFS attains a high accuracy with short processing times.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Q Science > QB Astronomy R Medicine > RC Internal medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Big data, Hubble Space Telescope (Spacecraft), Diagnostic imaging, Image processing -- Mathematical models | ||||||
Publisher: | IEEE | ||||||
ISBN: | 9781479970612 | ||||||
ISSN: | 2381-8549 | ||||||
Official Date: | 6 September 2018 | ||||||
Dates: |
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Page Range: | pp. 316-320 | ||||||
DOI: | 10.1109/ICIP.2018.8451677 | ||||||
Status: | Not Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 29 May 2018 | ||||||
Date of first compliant Open Access: | 1 June 2018 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 25th IEEE International Conference on Image Processing (ICIP) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Athens, Greece | ||||||
Date(s) of Event: | 7-10 Oct 2018 | ||||||
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