This volume stresses the necessity of image procession for future high energy physics detectors (indeed the signals - 1 megabyte of data or more, every 16 nanoseconds - will have 2D-spatial-topology-like images; only the processing/decision rates are much higher). The main issues presented are: new detectors, algorithms for tracking and pattern recognition, dedicated architectures, benchmarking studies on commercially available machines, mixed VLSI technologies, neural networks.
Impact of neural networks on triggering, S.R. Amendolia; image processing for LEP, D. Bertrand; image processing for intelligent triggering of eloisatron detectors, R.K. Bock; electronics for near (and far) future high energy physics experiments, F. Bourgeois; a first level digital buffer with micropipelined data recalibration, selective zero suppression and trigger matching for applications in high data rate experiments, J. Christiansen; real time track reconstruction algorithms for future detectors, R.M. Farber; testing scintillating fibers with image analysis systems, A Gheorghe; detection of the Tau Neutrino using scintillating fibers, K.H. Hiller; a low-cost high resolution tracking system using a multi-step avalanche chamber, CCD camera and massively parallel processing, M. Izycki; massive parallelism or the fight against latency, C. Jesshope; neural networks, expert systems and correlation analyzer for the recognition of hadronic jets, T. Kovacs; images of spaghettis, M. Lundin; scintillating fiber trackers for the CHORUS experiment at CERN, C. Mommaert; photon statistics and quantum limits of measurements, J. Perina; neural networks for pattern recognition in HEP - some new results, C. Petersen; an approach to track finding in a second level trigger, D. Sestero; optoelectronics and lightware systems in the front-ends of future HEP detectors, G. Stefanini; integrated system solutions for high-speed data processing using mixed technology ASIC structures, A. Wild.