Soft Computing in Image Processing: Recent Advances

✍ Scribed by Saroj K. Meher, Bhavan Uma Shankar, Ashish Ghosh (auth.), Mike Nachtegael, Dietrich Van der Weken, Etienne E. Kerre, Wilfried Philips (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2007
• Tongue: English
• Leaves: 504
• Series: Studies in Fuzziness and Soft Computing 210
• Edition: 1
• Category: Library

✦ Synopsis

Images have always been very important in human life. Their applications range from primitive communication between humans of all ages to advanced technologies in the industrial, medical and military field. The increased possibilities to capture and analyze images have contributed to the largeness that the scientific field of "image processing" has become today. Many techniques are being applied, including soft computing.

"Soft Computing in Image Processing: Recent Advances" follows the edited volumes "Fuzzy Techniques in Image Processing" (volume 52, published in 2000) and "Fuzzy Filters for Image Processing" (volume 122, published in 2003), and covers a wide range of both practical and theoretical applications of soft computing in image processing. The 16 excellent chapters of the book have been grouped into five parts: Applications in Remote Sensing, Applications in Image Retrieval, Applications in Image Analysis, Other Applications, and Theoretical Contributions. The focus of the book is on practical applications, which makes it interesting for every researcher that is involved with soft computing, image processing, or both scientific branches.

✦ Table of Contents

Front Matter....Pages I-XXI
Front Matter....Pages I-XXI
Multispectral Remote Sensing Image Classification Using Wavelet Based Features....Pages 3-34
Images with Uncertainty: Efficient Algorithms for Shift, Rotation, Scaling, and Registration, and Their Applications to Geosciences....Pages 35-64
Neural Networks in Multiple Classifier Systems for Remote-Sensing Image Classification....Pages 65-94
Front Matter....Pages I-XXI
Linguistic Expression Based Image Description Framework and its Application to Image Retrieval....Pages 97-120
Focusing Keywords to Automatically Extracted Image Segments Using Self-Organising Maps....Pages 121-154
Front Matter....Pages I-XXI
A Fuzzy Edge-Dependent Interpolation Algorithm....Pages 157-185
Fuzzy Image Segmentation Based on Triangular Function and Its n-dimensional Extension....Pages 187-207
Application of Neuro-Fuzzy Methods for Noise Filtering, Noise Detection and Edge Extraction in Digital Images Corrupted by Impulse Noise....Pages 209-235
Front Matter....Pages I-XXI
Creating Photorealistic Models by Data Fusion with Genetic Algorithms....Pages 239-263
The Use of Fuzzy Information Granular for Content Representation of Video Sequences....Pages 265-292
Wavelets and Fuzzy Contours in 3D-CAD for Digital Breast Tomosynthesis....Pages 293-323
Intelligent Biometric Information Fusion using Support Vector Machine....Pages 325-349
Front Matter....Pages I-XXI
General Definition of Fuzzy Mathematical Morphology Operations. Image and Non-image Applications....Pages 353-381
Intuitionistic Fuzzy Image Processing....Pages 383-414
Integer Programming Methods in Image Processing and Bayes Estimation....Pages 415-444
Colour Quantisation by Black-Box Optimisation....Pages 445-463
Back Matter....Pages 465-500

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)