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001 978-3-642-30621-1
003 DE-He213
005 20200421112222.0
007 cr nn 008mamaa
008 120810s2013 gw | s |||| 0|eng d
020 _a9783642306211
_9978-3-642-30621-1
024 7 _a10.1007/978-3-642-30621-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aComputational Intelligence in Image Processing
_h[electronic resource] /
_cedited by Amitava Chatterjee, Patrick Siarry.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXII, 304 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart I - Image Preprocessing Algorithms -- Chap. 1 - Improved Digital Image Enhancement Filters Based on Type-2 Neuro-Fuzzy Techniques (Mehmet Emin Y�uksel, Alper Başt�urk) -- Chap. 2 - Locally-Equalized Image Contrast Enhancement Using PSO-Tuned Sectorized Equalization (N.M. Kwok, Q.P. Ha, G. Fang, D. Wang, S.Y. Chen) -- Chap. 3 - Hybrid BBO-DE Algorithms for Fuzzy Entropy Based Thresholding (Ilhem Boussa�id, Amitava Chatterjee, Patrick Siarry, Mohamed Ahmed-Nacer) -- Chap. 4 - A Genetic Programming Approach for Image Segmentation (Hugo Alberto Perlin, Heitor Silv�erio Lopes) -- Part II - Image Compression Algorithms -- Chap. 5 - Fuzzy Clustering-Based Vector Quantization for Image Compression (George E. Tsekouras, Dimitrios M. Tsolakis) -- Chap. 6 - Layers Image Compression and Reconstruction by Fuzzy Transforms (Ferdinando Di Martino, Salvatore Sessa) -- Chap. 7 - Modified Bacterial Foraging Optimization Technique for Vector Quantization-Based Image Compression (Nandita Sanyal, Amitava Chatterjee, Sugata Munshi) -- Part III - Image Analysis Algorithms -- Chap. 8 - A Fuzzy-Condition-Sensitive Hierarchical Algorithm for Approximate Template Matching in Dynamic Image Sequences (Rajshree Mandal, Anisha Halder, Amit Konar, Atulya K. Nagar) -- Chap. 9 - Digital Watermarking Strings with Images Compressed by Fuzzy Relation Equations (Ferdinando Di Martino, Salvatore Sessa) -- Chap. 10 - Study on Human Brain Registration Process Using Mutual Information and Evolutionary Algorithms (Mahua Bhattacharya, Arpita Das) -- Chap. 11 - On the Use of Stochastic Optimization Algorithms in Image Retrieval Problems (Mattia Broilo, Francesco G.B. De Natale) -- Chap. 12 - A Cluster-Based Boosting Strategy for Red Eyes Removal (Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Rav�i) -- Part IV - Image Inferencing Algorithms -- Chap. 13 - Classifying Pathological Prostate Images by Fractal Analysis and Texture Features of Multicategories (Po-Whei Huang, Cheng-Hsiung Lee, Phen-Lan Lin) -- Chap. 14 - Multiobjective PSO for Hyperspectral Image Clustering (Farid Melgani, Edoardo Pasolli) -- Chap. 15 - A Computational Intelligence Approach to Emotion Recognition from the Lip-Contour of a Subject (Anisha Halder, Srishti Shaw, Kanika Orea, Pavel Bhowmik, Aruna Chakraborty, Amit Konar) -- Index.
520 _aComputational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, and power electronics. Image processing is also an extremely potent area which has attracted the atten­tion of many researchers who are interested in the development of new computational intelligence-based techniques and their suitable applications, in both research prob­lems and in real-world problems. Part I of the book discusses several image preprocessing algorithms; Part II broadly covers image compression algorithms; Part III demonstrates how computational intelligence-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and clustering-based techniques can be developed for the purpose of image inferencing. The book offers a unified view of the modern computational intelligence tech­niques required to solve real-world problems and it is suitable as a reference for engineers, researchers and graduate students.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aImage processing.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aChatterjee, Amitava.
_eeditor.
700 1 _aSiarry, Patrick.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642306204
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-30621-1
912 _aZDB-2-ENG
942 _cEBK
999 _c57436
_d57436