| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
371906687 Buchausg. u.d.T.: ‡Computational intelligence in image processing |
| ISBN |
978-3-642-30620-4 |
| Name |
Chatterjee, Amitava |
| Siarry, Patrick |
| Name ANZEIGE DER KETTE |
Siarry, Patrick |
| T I T E L |
Computational Intelligence in Image Processing |
| Verlagsort |
Berlin, Heidelberg |
| Verlag |
Springer |
| Erscheinungsjahr |
2013 |
| 2013 |
| Umfang |
Online-Ressource (XII, 301 p. 166 illus., 62 illus. in color, digital) |
| Reihe |
SpringerLink. Bücher |
| Notiz / Fußnoten |
Description based upon print version of record |
| Weiterer Inhalt |
Computational Intelligencein Image Processing; Preface; Contents; Part I Image Preprocessing Algorithms; 1 Improved Digital Image Enhancement Filters Based on Type-2 Neuro-Fuzzy Techniques; 1.1 Introduction; 1.2 Literature Review; 1.3 The Type-2 NF Operator; 1.3.1 The Structure of the Operator; 1.3.2 Type-2 NF Blocks; 1.3.3 The Defuzzifier; 1.3.4 The Postprocessor; 1.3.5 Training the NF Blocks; 1.3.6 Processing the Input Image; 1.4 Applications; 1.4.1 The Type-2 NF Operator as a Noise Filter; 1.4.2 The Type-2 NF Operator as a Noise Detector; 1.5 Conclusions and Remarks; References. 2 Locally-Equalized Image Contrast Enhancement Using PSO-Tuned Sectorized Equalization2.1 Introduction; 2.2 Global Histogram Equalization; 2.3 Local Histogram Equalization; 2.3.1 Sectorized Equalization; 2.3.2 Mitigation of Sector Discontinuities; 2.3.3 Iterated Enhancement; 2.3.4 PSO-Based Parameter Optimization; 2.4 Experiments and Discussion; 2.5 Conclusion; References; 3 Hybrid BBO-DE Algorithms for Fuzzy Entropy-Based Thresholding; 3.1 Introduction; 3.2 Fuzzy Set Theory; 3.2.1 Fuzzy Entropy; 3.3 Problem Formulation; 3.3.1 Model of an Image; 3.3.2 Three-Level Thresholding. 3.4 Biogeography-Based Optimization Algorithm (BBO)3.5 Description of the Proposed DBBO-Fuzzy Algorithm; 3.6 Experimental Settings and Results; 3.6.1 Test Images; 3.6.2 Test Design; 3.6.3 Results and Discussions; 3.7 Conclusion; References; 4 A Genetic Programming Approach for Image Segmentation; 4.1 Introduction; 4.2 Image Segmentation; 4.3 Genetic Programming; 4.4 Methodology; 4.4.1 Test Set; 4.5 Computational Experiments and Results; 4.5.1 Training; 4.5.2 Testing; 4.5.3 Tree Size Control; 4.5.4 Frequency of Use of Nonterminals; 4.6 Conclusions; References. Part II Image Compression Algorithms5 Fuzzy Clustering-Based Vector Quantization for Image Compression; 5.1 Introduction; 5.2 Fuzzy Clustering-Based Vector Quantization; 5.3 The Proposed Algorithm; 5.4 Experimental Study; 5.5 Conclusions; References; 6 Layers Image Compression and Reconstruction by Fuzzy Transforms; 6.1 Introduction; 6.2 Discrete F-Transforms in Two Variables; 6.3 LF-Transform in Two Variables; 6.4 Simulation Results; 6.5 Conclusion; References; 7 Modified Bacterial Foraging Optimization Technique for Vector Quantization-Based Image Compression; 7.1 Introduction. 7.2 Fuzzy Vector Quantization for Image Compression7.3 Bacterial Foraging Optimization Algorithm; 7.4 Bacterial Foraging with Self-Adaptation; 7.5 Simulation Results; 7.6 Conclusion; References; Part III Image Analysis Algorithms; 8 A Fuzzy Condition-Sensitive Hierarchical Algorithm for Approximate Template Matching in Dynamic Image Sequence; 8.1 Introduction; 8.2 Principle of Template Matching; 8.3 Fuzzy Conditions for Approximate Matching; 8.4 Template Matching by Hierarchical Search; 8.5 The Proposed Algorithm; 8.6 Experiments and Computer Simulation; 8.7 Performance Analysis. 8.8 Conclusions |
| Titelhinweis |
Buchausg. u.d.T.: ‡Computational intelligence in image processing |
| ISBN |
ISBN 978-3-642-30621-1 |
| Klassifikation |
UYQ |
| COM004000 |
| 006.3 |
| Q342 |
| ST 330 |
| Kurzbeschreibung |
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 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 |
| 2. Kurzbeschreibung |
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 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. |
| 1. Schlagwortkette |
Bildverarbeitung |
| Vorverarbeitung |
| Datenkompression |
| Soft Computing |
| Aufsatzsammlung |
| Aufsatzsammlung |
| ANZEIGE DER KETTE |
Bildverarbeitung -- Vorverarbeitung -- Datenkompression -- Soft Computing -- Aufsatzsammlung -- Aufsatzsammlung |
| SWB-Titel-Idn |
373429894 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-642-30621-1 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Inhaltsverzeichnis |
| Siehe auch |
Inhaltstext |
| Siehe auch |
Volltext |
| Siehe auch |
Cover |
