Experimental Environments for Computer Vision and Image ProcessingTo fully appreciate new methods developed in the area of machine vision it is necessary to have facilities which allow experimental verification of such methods. Experimental research is typically a very expensive task in terms of manpower, and consequently it is desirable to adopt standard facilities/methods which allow more efficient experimental investigations. In this volume a range of different experimental environments which facilitate construction and integration of machine vision systems is described. The environments presented cover areas such as robotics, research in individual machine vision methods, system integration, knowledge representation, and distributed computing. The set of environments covered include commercial systems, public domain software and laboratory prototype, showing the diversity of the problem of experimental research in machine vision and providing the reader with an overview of the area. |
Contents
Prototyping Visualization and Simulation Using the Application | 33 |
XITEXBased Image Processing Tools and Environment | 63 |
An Experimental WindowBased Environment | 89 |
A MultiLayered Environment for Use and Development | 107 |
Integration and Control of a Real Time Active Vision System | 127 |
A Modular Control Architecture For RealTime Synchronous | 157 |
Integrating Visual Procedures for Mobile Perception | 183 |
Module Network Tool | 225 |
ObjectOriented Communication in Image Processing Systems | 253 |
A Software Environment for Computer Vision Research | 281 |
Other editions - View all
Experimental Environments for Computer Vision and Image Processing H I Christensen,J L Crowley Limited preview - 1994 |
Common terms and phrases
algorithms allows application architecture automatically base class binary blackboard byte called camera channel color table communication communication protocol complex computational network computer vision connection descriptor contains created data structures data types database defined demon detection display distributed edge event example execution Figure filter format function function overloading geometry graphical graphical user interface image class image processing system implemented input integration interactive interpreter ISR3 Khoros Labolmage language loop macro manipulation mathematical morphology memory menu methods MICA module module program object output package parameters pixel pixel values pointer port Post-It processors protocol provides queue real-time region representation resource robot routines SAVA ScilImage segments sequence slave server specific standard subclass synchronous texture mapping toolbox ultrasound UNIX update user interface variable vector VIPWOB vision systems visual programming widget XITE XVision