Image Structure Evaluation by Statistical Intensity Features

Roman Melnyk ramelnyk [at] polynet.lviv.ua
Iryna Boyko boyko.ira93 [at] gmail.com
  1. Software Department, Lviv Polytechnic National University, UKRAINE, Lviv, S. Bandery street 12
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

References 

[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.