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Computational Intelligence in Image Processing

Previously published in hardcover
BuchKartoniert, Paperback
301 Seiten
Englisch
Springererschienen am20.09.20142013
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR106,99
BuchGebunden
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextImage 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.
ZusammenfassungThis book offers comprehensive coverage of computational intelligence techniques applied to image processing applications. It provides a unified view of the modern computational intelligence tech-niques required to solve real-world problems.
Details
ISBN/GTIN978-3-642-43164-7
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2014
Erscheinungsdatum20.09.2014
Auflage2013
Seiten301 Seiten
SpracheEnglisch
Gewicht486 g
IllustrationenXII, 301 p. 166 illus., 62 illus. in color.
Artikel-Nr.32985345

Inhalt/Kritik

Inhaltsverzeichnis
Part I - Image Preprocessing Algorithms.- Chap. 1 - Improved Digital Image Enhancement Filters Based on Type-2 Neuro-Fuzzy Techniques (Mehmet Emin Yüksel, Alper BaÅtürk).- 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 Boussaïd, Amitava Chatterjee, Patrick Siarry, Mohamed Ahmed-Nacer).- Chap. 4 - A Genetic Programming Approach for Image Segmentation (Hugo Alberto Perlin, Heitor Silvério 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, GiovanniMaria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Ravì).- 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.mehr

Schlagworte

Autor

Amitava Chatterjee is an Associate Professor in the Dept. of Electrical Engineering of Jadavpur University in Kolkata, India. He teaches electrical engineering and his research interests include fuzzy control, image processing, robotics, signal processing and stochastic optimization. He has visited overseas on prestigious scholarships and fellowships and has given invited lectures in India, Japan and France. He presently serves as an Associate Editor of the IEEE Transactions on Vehicular Technology. Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi). He has considerable teaching and research experience in the areas of signal processing, control, artificial intelligence, operations research, and optimization. He presently serves as an Associate Editor of the journal Information Sciences and the journal Engineering Applications of Artificial Intelligence.
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