Improved statistical edge detection through neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F06%3A00017002" target="_blank" >RIV/00216224:14330/06:00017002 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Improved statistical edge detection through neural networks
Original language description
The paper details a novel and successful method for multi-statistic edge detection. The detector works by analyzing the texture properties of different regions within an image, and through the use of neural networks classifying the location and directionof any edges. The detailed technique is illustrated for use both on Histological Mouse Embryo Atlas (MA) images, and also real image data. The overall accuracy of this novel technique is extensively tested using a novel grey-scale performance measure (GFOM) which allows a robustness in the results unavailable with visual inspection alone. The filter is illustrated to outperform the traditional Canny edge detector which is seen as the benchmark for edge detection. The technique presented within the paper can be applied to a variety of low level medical imaging applications and is particularly suited to images containing high levels of noise and texture where the traditional methods of edge detection prove less successful.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
10th Conference on Medical Image Understanding and Analysis
ISBN
1-901727-31-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
BMVA
Place of publication
Manchester
Event location
University of Manchester
Event date
Jan 1, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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