A performance evaluation of statistical tests for edge detection in textured images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00075212" target="_blank" >RIV/00216224:14330/14:00075212 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.cviu.2014.02.009" target="_blank" >http://dx.doi.org/10.1016/j.cviu.2014.02.009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cviu.2014.02.009" target="_blank" >10.1016/j.cviu.2014.02.009</a>

Result language
angličtina
Original language name
A performance evaluation of statistical tests for edge detection in textured images
Original language description
This work presents an objective performance analysis of statistical tests for edge detection which are suitable for textured or cluttered images. The tests are subdivided into two-sample parametric and non-parametric tests and are applied using a dual-region based edge detector which analyses local image texture difference. Through a series of experimental tests objective results are presented across a comprehensive dataset of images using a Pixel Correspondence Metric (PCM). The results show that statistical tests can in many cases, outperform the Canny edge detection method giving robust edge detection, accurate edge localisation and improved edge connectivity throughout. A visual comparison of the tests is also presented using representative imagestaken from typical textured histological data sets.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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