https://oldena.lpnu.ua/handle/ntb/39497
Title: | Image structure evaluation by statistical intensity features |
Authors: | Melnyk, Roman Boyko, Iryna |
Affiliation: | Lviv Polytechnic National University |
Bibliographic description (Ukraine): | 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. |
Conference/Event: | Litteris et Artibus |
Issue Date: | 2015 |
Publisher: | Lviv Polytechnic Publishing House |
Country (code): | UA |
Place of the edition/event: | Lviv |
Keywords: | image intensity size-intensity mean value color concentration |
Number of pages: | 56-57 |
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. |
URI: | https://ena.lpnu.ua/handle/ntb/39497 |
References (International): | [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. |
Content type: | Conference Abstract |
Appears in Collections: | Litteris et Artibus. – 2015 р. |
File | Description | Size | Format | |
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15-56-57.pdf | 136.84 kB | Adobe PDF | View/Open |
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