Normalised diffusion cosine similarity and its use for image segmentation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096742" target="_blank" >RIV/61989100:27240/15:86096742 - isvavai.cz</a>
Result on the web
<a href="http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=L9hSRTARUnM%3d&t=1" target="_blank" >http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=L9hSRTARUnM%3d&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0005220601210129" target="_blank" >10.5220/0005220601210129</a>

Result language
angličtina
Original language name
Normalised diffusion cosine similarity and its use for image segmentation
Original language description
In many image-segmentation algorithms, measuring the distances is a key problem since the distance is often used to decide whether two image points belong to a single or, respectively, to two different image segments. The usual Euclidean distance need not be the best choice. Measuring the distances along the surface that is defined by the image function seems to be more relevant in more complicated images. Geodesic distance, i.e. the shortest path in the corresponding graph, or the k shortest paths canbe regarded as the simplest methods. It might seem that the diffusion distance should provide the properties that are better since all the paths (not only their limited number) are taken into account. In this paper, we firstly show that the diffusion distance has the properties that make it difficult to use it image segmentation, which extends the recent observations of some other authors. Afterwards, we propose a new measure called normalised diffusion cosine similarity that is more sui
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings
ISBN
978-989-758-076-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
121-129
Publisher name
INSTICC - Institute for Systems and Technologies of Information, Control and Communication
Place of publication
Setubal
Event location
Lisabon
Event date
Jan 10, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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