Image Converting into Complex Networks : Scale- Level Segmentation Approach; Advances in Computer Science Research; Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017)
| Parent link: | Advances in Computer Science Research Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017).— 2017.— [P. 417-422] |
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| Erakunde egilea: | |
| Beste egile batzuk: | , , , , |
| Gaia: | Title screen Image analysis and recognition is being a contemporary domain for successful tries to apply complex networks as an instrument for thorough studies. Researchers noted that an image having traditionally converted into a network (i.e. taking into account Euclidean distance between pixels only) possesses nodes with similar number of admissible links and the concomitant graph demonstrates a regular topology. As a rule, pixel intensity difference is considered to escape regularity and reach complex property of the network. Contrary revealing more specific traits of an image current study proposes scale segmentation views -local, medium and global - for an image to build a genuine complex network. Case study with two sample images manifests how the scales are connected with formation of a network topology. |
| Hizkuntza: | ingelesa |
| Argitaratua: |
2017
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| Gaiak: | |
| Sarrera elektronikoa: | http://dx.doi.org/10.2991/itsmssm-17.2017.88 |
| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657538 |