Computational Intelligence in Image Processing

Computational 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 elect...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Chatterjee, Amitava (Editor ), Siarry, Patrick (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Computational intelligence.
Signal processing.
Computer vision.
Artificial intelligence.
Computational Intelligence.
Signal, Speech and Image Processing .
Computer Vision.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I - Image Preprocessing Algorithms
  • Chap. 1 - Improved Digital Image Enhancement Filters Based on Type-2 Neuro-Fuzzy Techniques (Mehmet Emin Yüksel, Alper Baştürk)
  • 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, Giovanni Maria 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.

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