This book presents theoretical and practical aspects of the interaction between low and high level image processing. Multiresolution analysis owes its popularity mostly to wavelets and is widely used in a variety of applications. Low level image processing is important for the performance of many high level applications. The book includes examples from different research fields, i.e. video surveillance; biomedical applications (EMG and X-ray); improved communication, namely teleoperation, telemedicine, animation, augmented/virtual reality and robot vision; monitoring of the condition of ship systems and image quality control.…mehr
This book presents theoretical and practical aspects of the interaction between low and high level image processing. Multiresolution analysis owes its popularity mostly to wavelets and is widely used in a variety of applications. Low level image processing is important for the performance of many high level applications. The book includes examples from different research fields, i.e. video surveillance; biomedical applications (EMG and X-ray); improved communication, namely teleoperation, telemedicine, animation, augmented/virtual reality and robot vision; monitoring of the condition of ship systems and image quality control.
Produktdetails
Produktdetails
SpringerBriefs in Electrical and Computer Engineering
Introduction.- Interaction of Lower And Higher Vision Applications.- Multiresolution Approach in Image Processing.- Visual Quality Control.- Possibilities for the Improvement of Human Work Conditions by Virtual/Augmented Reality.- Computer-Aided Diagnostics and Multiresolution Analysis Role in Medical Signal Processing.- Multiresolution Application in Video Surveillance.- Conclusions.
Introduction.- Interaction of Lower And Higher Vision Applications.- Multiresolution Approach in Image Processing.- Visual Quality Control.- Possibilities for the Improvement of Human Work Conditions by Virtual/Augmented Reality.- Computer-Aided Diagnostics and Multiresolution Analysis Role in Medical Signal Processing.- Multiresolution Application in Video Surveillance.- Conclusions.
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