000 03858Cam#a22004575i#4500
001 INGC-EBK-000521
003 AR-LpUFI
005 20220927105926.0
007 cr nn 008mamaa
008 140529s2014 gw | s |||| 0|eng d
020 _a9783319064314
024 7 _a10.1007/978-3-319-06431-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
245 1 0 _aCellular Automata in Image Processing and Geometry
_h[libro electrónico] /
_cedited by Paul Rosin, Andrew Adamatzky, Xianfang Sun.
260 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _axvi, 304 p. :
_bil.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEmergence, Complexity and Computation,
_x2194-7287 ;
_v10
505 0 _aCellular Automata for Efficient Image and Video Compression -- Cellular Automata for Image Resizing -- Skeletonizing Digital Images with Cellular Automata -- Image Processing Algorithms Implementation Using Quantum Cellular Automata -- Edge Detection using Cellular Automata -- Copy-move forgery detection using cellular automata -- Active Image Forgery Detection using Cellular Automata -- Content-based image retrieval with cellular automata -- The Application of Cellular Automaton in Medical Semiautomatic Segmentation -- Convex Hulls and Metric Gabriel Graphs -- Cellular automaton shading for building envelopes -- Pattern Formation Using Cellular Automata and L-Systems: A Case Study in Producing Islamic Patterns -- Interactive Cellular Automata Systems for Creative Projects.
520 _aThe book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures. This volume provides a convenient collection in this area, in which publications are otherwise widely scattered throughout the literature. The topics covered include image compression and resizing; skeletonization, erosion and dilation; convex hull computation, edge detection and segmentation; forgery detection and content based retrieval; and pattern generation. The book advances the theory of image processing, pattern recognition and generation as well as the design of efficient algorithms and hardware for parallel image processing and analysis. It is aimed at computer scientists, software programmers, electronic engineers, mathematicians and physicists, and at everyone who studies or develops cellular automaton algorithms and tools for image processing and analysis, or develops novel architectures and implementations of massive parallel computing devices. The book will provide attractive reading for a general audience because it has do-it-yourself appeal: all the computer experiments presented within it can be implemented with minimal knowledge of programming. The simplicity yet substantial functionality of the cellular automaton approach, and the transparency of the algorithms proposed, makes the text ideal supplementary reading for courses on image processing, parallel computing, automata theory and applications.
650 0 _aEngineering.
_9259622
650 0 _aImage processing.
_9259604
650 0 _aComputational intelligence.
_9259845
650 2 4 _aComputer Vision.
_9259927
650 2 4 _aComplexity.
_9260162
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9259846
700 1 _aRosin, Paul,
_eed.
_9261298
700 1 _aAdamatzky, Andrew,
_eed.
_9261299
700 1 _aSun, Xianfang,
_eed.
_9261300
776 0 8 _iPrinted edition:
_z9783319064307
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-06431-4
912 _aZDB-2-ENG
929 _aCOM
942 _cEBK
999 _aSKV
_c27949
_d27949