Experimental Study of Multi-fractal Geometry on Electronic Medical Images Using Differential Box Counting
This paper focuses on the effect of fractal dimension and lacunarity to measure the roughness of digital medical images that has been contaminated with varying intensities of Gaussian noise as additive noise, Periodic noise as multiplicative noise, and Po
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Himansu Sekhar Behera Durga Prasad Mohapatra Editors
Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM, 10–11 December 2016
Advances in Intelligent Systems and Computing Volume 556
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
About this Series The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing. The publications within “Advances in Intelligent Systems and Computing” are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.
Advisory Board Chairman Nikhil R. Pal, Indian Statistical Institute, Kolkata, India e-mail: [email protected] Members Rafael Bello Perez, Universidad Central “Marta Abreu” de Las Villas, Santa Clara, Cuba e-mail: [email protected] Emilio S. Corchado, University of Salamanca, Salamanca, Spain e-mail: [email protected] Hani Hagras, University of Essex, Colchester, UK e-mail: [email protected] László T. Kóczy, Széchenyi István University, Győr, Hungary e-mail: [email protected] Vladik Kreinovich, University of Texas at El Paso, El Paso, USA e-mail: [email protected] Chin-Teng Lin, National Chiao Tung University, Hsinchu, Taiwan e-mail: [email protected] Jie Lu, University of Technology, Sydney, Australia e-mail: [email protected] Patricia Melin, Tijuana Institute of Technology, Tijuana, Mexico e-mail: [email protected] Nadia Nedjah, State University of Rio de Janeiro, Rio de Janeiro, Brazil e-mail: [email protected] Ngoc Thanh Nguyen, Wroclaw University of Technology, Wroclaw, Poland e-mail: [email protected] Jun Wang, The Chinese University of Hong Kong, Shatin, Hong Kong e-mail: [email protected]
More information about this series at http://www.springer.com/series/11156
Himansu Sekhar Behera Durga Prasad Mohapatra Editors
Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM, 10–11 December 2016
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Editors Himansu Sekhar Behera Department of Computer Science and Engineering & Information Technology Veer Surendra Sai University of Technology Sambalpur, Odisha India
Durga Prasad Mohapatra Department of CSE National Institute of Technology (NIT) Rourkela, Odisha India
ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems and Computing ISBN 978-981-10-3873-0 ISBN 978-981-10-3874-7 (eBook) DOI 10.1007/978-981-10-
