Image Processing: Theory and Applications - Proceedings of IPTA '93, San Remo, Italy, 14-16 June 1993

The area of research represented in this book is of increasing interest and is contributing to impressive advances in several fields, such as communications, radar-sonar systems, remote sensing, biomedicine, moving vehicle recognition - tracking, traffic monitoring, automatic inspection and robotics. The 104 papers (including seven invited papers) provide an authoritative and permanent record of the scientific and technical lectures, presented by selected speakers from a number of countries. Some papers are theoretical, while others contain new implementations and applications. New digital image processing and recognition methods, implementation techniques and advanced applications are presented. In particular, new approaches for hybrid systems and industrial applications are described. This work should be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.

Table of Contents:
Invited Papers: Recent HDTV systems (M. Kunt). Polynomial methods in motion analysis (T.S. Huang). Motion compensated spatiotemporal Kalman filter (J.W. Woods, J. Kim). Artificial neural networks in pattern recognition and signal classification (C.H. Chen). Form and content issues in the abductive framework for recognition (B. Chandrasekaran, J. Josephson). Inverse SAR planetary imaging (M.R. Coble, D.C. Munson). Multispectral image processing (P.E. Trahanias, A.N. Venetsanopoulos). Image Coding I. Fractal transforms: complexity versus fidelity (D.M. Monro). Compatible HDTV coding using MDPCM and VQ (X. Song, Y. Neuvo). Image Coding II. Coding of motion compensated prediction error images by morphological segmentation (W. Li, M. Kunt). Perceptually based contrast enhancement algorithm (T.H. Yu, S.K. Mitra). Image Segmentation and Feature Extraction I. Restoration of incomplete contour images using Markov random fields (S. Urago et al.). Cooperation between edge detection and region growing: The problem of control (M. Salotti, C. Garbay). Image Coding III. Motion-compensated wavelet coding of color images using adaptive vector quantization (S. Yao, R.J. Clarke). A novel approach to data interpolation for image-data compression (F.G.B. deNatale et al.). Image Segmentation and Feature Extraction II. Expectation-driven segmentation: a pyramidal approach (A. Broggi, G. Destri). Image matching for underwater 3-D vision (J. Santos-Victor, J. Sentieiro). Image Filtering I. Identification of multichannel and multidimensional systems using cumulants: applicatioh to colour imagqs (Y. Zhang et al.). Contrast enhancement through multiresolution decomposition (J.M. Jolion). Neural Networks for Image Processing. 3-D reconstruction of line-like objects in trinocular vision (D. Mingyue, F.M. Wahl). Image compression by Hadamard transform and neural network spectrum extrapolation (E. Costamagna et al.). Image Filtering II. A simplified 2-D IIR digital filter and its application to image processing (T. Hinamoto, M. Muneyasu). 2-D subset averaged median filters (R. Suoranta, K.-P. Estola). Image Classification. Face identification and feature extraction using hidden Markov models (F. Samaria, F. Fallside). Imaging of vehicles with linear array (G. Jacovitti et al.). Applications of Image Processing. Optical image processing technique speeds up algorithms of computer graphics (Y.B. Karasik). Bistatic radar imaging in laboratory (J. Bertrand et al.). Image Classification and Applications. A structural approach in stereo vision (C. Di Roberto et al.). Associative reduction of dimensionality in image classification (D. Anguita et al.).