Abstract
In this paper the possibilities for construction of an ad hoc search system to examine large-sized raster image data sets, e.g. rock images or medical images, for analysis of its characteristic parameters are presented. A new solution for image exploration based on any attributes extracted with computer image analysis by using extensions for server-side operations is proposed.
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Tadeusiewicz, R.: Data mining as a chance for relative cheap scientific discoveries obtained by looking up seemingly fully explored empirical data. Statystyka Data Mining w Badaniach Naukowych, StstSoft Polska, Krakow (2006)
Mlynarczuk, M.: Some Remarks on the Application of Image Analysis and Image Processing for the Description of the Geometrical Structures of Rock. Physicochemical Problems of Mineral Processing 33, 107–116 (1999)
Wierzbicki, M., Mlynarczuk, M.: Structural aspects of gas and dolomite outburst in Rudna copper mine, Poland. International Journal of Rock Mechanics and Mining Sciences 57, 113–118 (2012)
Mlynarczuk, M.: Description and classification of rock surfaces by means of laser profilometry and mathematical morphology. International Journal of Rock Mechanics and Mining Sciences 47(1), 138–149 (2010)
Lay, B.J.: Image processing software - multiple solutions for a single problem. In: Proceedings of the 9th European Congress on Stereology and Image Analysis, Zakopane, pp. 55–70 (2005)
Wang, S., Mingquan, Z., Guohua, G.: Application of fuzzy cluster analysis for medical image data mining. In: 2005 IEEE International Conference on Mechatronics and Automation, vol. 2. IEEE (2005)
You, F.C., Yong, B.Z.: Elliptic Object Features Extraction and Measurement in Image Data Mining. In: International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2009, vol. 1. IEEE (2009)
Mazurkiewicz, A., Krawczyk, H.: A parallel environment for image data mining. In: Proceedings of the International Conference on Parallel Computing in Electrical Engineering, PARELEC 2002. IEEE (2002)
Ladniak, M., Piorkowski, A., Mlynarczuk, M.: Structure of systems for data exploration for raster images. Studia Informatica 33(2B), 7–20 (2013)
Chuchro, M.: The structure of influent time series in wastewater treatment plants. Environmental Engineering III A 3rd Congress of Environmental Engineering, Lublin (2009)
Mlynarczuk, M.: Application of image analysis and mathematical morphology to quantitative description of rock fracture surface. Archives of Mining Sciences, Monography 3 (2008)
Mlynarczuk, M.: Stereological description of sedimentary rocks with methods of image analysis. Polskie Towarzystwo Mineralogiczne, Prace Specjalne 27 (2005)
Matheron, G.: Random Sets and Integral Geometry. Wiley, New York (1975)
Serra, J.: Image Analysis and Mathematical Morphology. Academic Press, New York (1982)
Serra, J., Mlynarczuk M.: Morphological merging of multidimensional data. In: Proc. STERMATV 2000, Cracow (2000)
Tadeusiewicz, R., Korohoda, P.: Komputerowa analiza i przetwarzanie obrazow. Wydawnictwo Fundacji Postepu Telekomunikacji (1997)
Korkosz, M., Bielecka, M., Bielecki, A., Skomorowski, M., Wojciechowski, W., Wójtowicz, T.: Improved fuzzy entropy algorithm for X-ray pictures preprocessing. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part II. LNCS, vol. 7268, pp. 268–275. Springer, Heidelberg (2012)
Bernaś, M.: Objects detection and tracking in highly congested traffic using compressed video sequences. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 296–303. Springer, Heidelberg (2012)
Coster, M., Chermant, J.L.: Precis d’Analyse d’Images. Press du CNRS (1989)
Mlynarczuk, M.: Potential applications of image analysis and mathematical morphology to stereological analysis of rock structures. Archives of Mining Sciences 49, 117–140 (2004)
Jeske, T., Przedecki, T., Rosinski, B.: Mechanika gruntow. Panstwowe Wydawn. Naukowe (1966)
Radomski, P., Jarosinski, A.: Determination of specific surface area of the granular materials in aspects of its use in selected technological processes. Technical Transactions, Chemistry (10) (2010)
Lay, B.J.: Image processing software - multiple solutions for a single problem. In: Proceedings of the 9th European Congress on Stereology and Image Analysis, Zakopane, pp. 55–70 (2005)
Toub, S.: Patterns of parallel programming. Understanding and applying parallel patterns with the .Net Framework 4 and Visual C#. Parallel Computing Platform, Microsoft Corporation. Version (February 16, 2010)
Bodziony, J., Konstankiewicz, K., Pukos, A.: Stereology as image analysys method of agricultural materials. Int. Agrophysics 9, 293–309 (1995)
Bielecki, A., Buratowski, T., Smigielski, P.: Recognition of two-dimensional representation of urban environment for autonomous flying agents. Expert Systems with Applications 40, 3623–3633 (2013)
Bielecka, M., Skomorowski, M., Bielecki, A.: Fuzzy syntactic approach to pattern recognition and scene analysis. In: Proceedings of the 4th International Conference on Informatics in Control, Automatics and Robotics, ICINCO 2007. ICSO Intelligent Control Systems and Optimization, Robotics and Automation, vol. 1, pp. 29–35 (2007)
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Ładniak, M., Piórkowski, A., Młynarczuk, M. (2013). The Data Exploration System for Image Processing Based on Server-Side Operations. In: Saeed, K., Chaki, R., Cortesi, A., Wierzchoń, S. (eds) Computer Information Systems and Industrial Management. CISIM 2013. Lecture Notes in Computer Science, vol 8104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40925-7_17
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DOI: https://doi.org/10.1007/978-3-642-40925-7_17
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