Soft Computing in Image Processing

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.

Recent advances of soft computing in image processing

Contenu
Applications in Remote Sensing.- Multispectral Remote Sensing Image Classification Using Wavelet Based Features.- Images with Uncertainty: Efficient Algorithms for Shift, Rotation, Scaling, and Registration, and Their Applications to Geosciences.- Neural Networks in Multiple Classifier Systems for Remote-Sensing Image Classification.- Applications in Image Retrieval.- Linguistic Expression Based Image Description Framework and its Application to Image Retrieval.- Focusing Keywords to Automatically Extracted Image Segments Using Self-Organising Maps.- Applications in Image Analysis.- A Fuzzy Edge-Dependent Interpolation Algorithm.- Fuzzy Image Segmentation Based on Triangular Function and Its n-dimensional Extension.- Application of Neuro-Fuzzy Methods for Noise Filtering, Noise Detection and Edge Extraction in Digital Images Corrupted by Impulse Noise.- Other Applications.- Creating Photorealistic Models by Data Fusion with Genetic Algorithms.- The Use of Fuzzy Information Granular for Content Representation of Video Sequences.- Wavelets and Fuzzy Contours in 3D-CAD for Digital Breast Tomosynthesis.- Intelligent Biometric Information Fusion using Support Vector Machine.- Theoretical Contributions.- General Definition of Fuzzy Mathematical Morphology Operations. Image and Non-image Applications.- Intuitionistic Fuzzy Image Processing.- Integer Programming Methods in Image Processing and Bayes Estimation.- Colour Quantisation by Black-Box Optimisation.