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Engineering (IEEE CASE 2009), 8,p. 158-163 Chattopadhyay, T, et al. (2008). An Application for Retrieval of Frames from a Laparoscopic Surgical Video Based on Image of Query Instrument. TENCON 2008, IEEE Region 10 Conference, 11, p. 1-5 Chattopadhyay, T. (2012) Applications of Image Processing in Industries, CSI Communications, July 2012, p. 8-11 Davies, E.R. (2012) Computer and Machine Vision, 4th Edition: Theory, Algorithms, Practicalities Golnabi, H. (2007) Design and application of industrial machine vision systems, Robotics and Computer-Integrated Manufacturing, 23

1 Introduction Image processing (IP) literature abounds with applications of mathematical techniques of most sophisticated and innovative variety, see e.g. [ 5 ]. It has traditionally relied on techniques from Harmonic Analysis, Partial Differential Equations, Differential Geometry, Statistical Physics, Computer Optimization, and, more recently, reached for inspiration to Statistical Physics (see e.g. [ 10 ]) or Artificial Intelligence (see e.g. [ 11 ]). At the same time, there appear to have been virtually no attempts at engaging in IP bona fide quantum

, physics, control theory field, bioengineering and so on. Moreover, a few very good and interesting Matlab functions were programmed and already submitted to the MatlabCentral File Exchange, where they are available for sharing among the users. The subject of fractional calculus and its applications have gained considerable popularity during the past decades or so in diverse fields of science and engineering, like dynamics system and image processing. As to image processing, the work flow using fractional-order is shown in the Fig. 1.1 . The flow contains three steps

Introduction Image processing and recognition are areas of interest for many scientists and have many applications. One of these is a vital part of the diagnosis of different kinds of cancer. It is a disease that manifests as a palpable growth in the body and, as such, it can be discovered using image processing methods from many techniques. Examples are computed tomography (CT) scans, magnetic resonance imaging, X-rays and skin lesion photography [1]. The images produced by these techniques carry a large amount of valid information, making them a vital base for

International Conference on Computational Intelligence , Singapore, 2005 J. Bernd Digital Image Processing. 5 th Edition , Springer-Verlag, 2002 B. Zitova and J. Flusser "Image registration methods: a survey,"in Image and vision computing , vol. 21, 2003, pp. 977-1000. L. G. Brown "A survey of image registration techniques," in ACM Computing Surveys , 24, 1992, pp. 326-376. R. Lakaemper, L. J. Latecki, D. Wolter "Incremental multi-robot mapping," in IEEE/RSJ International Conference on Intelligent Robots and Systems , Edmonton, 2005, pp. 3846-3851. S. Carpin "Fast and

References 1. Akovetsky, V. I. Deciphering Pictures. Moscow, Nedra, 1983 (in Russian). 2. Aleksandrov, V. V., N. D. Gorsky. Image Presentation and Processing. A Recursive Approach. Moscow, Nauka, 1985 (in Russian). 3. Digital Coding TV Images. I. I. Tsukerman, Ed., Moscow, Svyaz, 1981 (in Russian). 4. Krasilnikov, N. N. Theory of Transmission and Reception of Images. Moscow, Radio and Svyaz, 1986 (in Russian). 5. Jahne, B. Digital Image Processing. Berlin, Springer Verlag, 1991. 6. Winston, P. Artificial Intelligence. Moscow, Mir, 1980 (in Russian). 7. Rosenfeld