Image structure evaluation by statistical intensity features
dc.citation.conference | Litteris et Artibus | |
dc.contributor.affiliation | Lviv Polytechnic National University | uk_UA |
dc.contributor.author | Melnyk, Roman | |
dc.contributor.author | Boyko, Iryna | |
dc.coverage.country | UA | uk_UA |
dc.coverage.placename | Lviv | uk_UA |
dc.date.accessioned | 2018-03-02T12:20:08Z | |
dc.date.available | 2018-03-02T12:20:08Z | |
dc.date.issued | 2015 | |
dc.description.abstract | In this paper an extraction of intensity variance, size-intensity mean features and color concentration is considered. Their effectiveness is evaluated for image structure analysis. | uk_UA |
dc.format.pages | 56-57 | |
dc.identifier.citation | Melnyk R. Image structure evaluation by statistical intensity features / Roman Melnyk, Iryna Boyko // Litteris et Artibus : proceedings of the 5th International youth science forum, November 26–28, 2015, Lviv, Ukraine / Lviv Polytechnic National University. – Lviv : Lviv Polytechnic Publishing House, 2015. – P. 56–57. – Bibliography: 6 titles. | uk_UA |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/39497 | |
dc.language.iso | en | uk_UA |
dc.publisher | Lviv Polytechnic Publishing House | uk_UA |
dc.relation.referencesen | [1] J. R. Smith and S.-F. Chang., Tools and techniques for color image retrieval // Proceedings of Symposium on Electronic Imaging: Science and Technology, Storage & Retrieval for Image and Video Databases IV, vol. 2670, p.1-12, 1996. [2] H. Nezamabadi-pour, E. Kabir, “Image retrieval using histograms of unicolor and bicolor blocs and directional changes in intensity gradient” // Pattern Recognition Letters, vol. 25, n. 14, p. 1547-1557, 2004. [3] T. Gevers, A. Smeulder, Content-based image retrieval by viewpoint invariant color indexing // Image Vision Comput, n.17,)p. 475–488, 1999. [4] F.V. Mezaris, I. Kompatsiaris, M.G. Strintzis, Anontology approach to object-based image retrieval // Proceedings of the ICIP, vol. II, p. 511–514, 2003. [5] B.S. Manjunath, W.Y. Ma, “Texture feature for browsing and retrieval of image data” // IEEE PAMI, vol. 8, n. 18, p. 837-842, 1996. [6] J. Liu, X Zhou, W.Y. Ma, Extraction of texture features from arbitrary-shaped regions for image retrieval, International Conference on Multimedia and Expo p. 1891–1894, 2004. | uk_UA |
dc.subject | image intensity | uk_UA |
dc.subject | size-intensity mean value | uk_UA |
dc.subject | color concentration | uk_UA |
dc.title | Image structure evaluation by statistical intensity features | uk_UA |
dc.type | Conference Abstract | uk_UA |