Spatio-Temporal Image Processing: Theory and Scientific Applications (Lecture Notes in Computer Science, 751)

Image sequence processing is becoming a tremendous tool to analyze spatio-temporal data in all areas of natural science. It is the key to studythe dynamics of of complex scientific phenomena. Methods from computer science and the field of application are merged establishing new interdisciplinary research areas. This monograph emerged from scientific applications and thus is an example for such an interdisciplinaryapproach. It is addressed both to computer scientists and to researchers from other fields who are applying methods of computer vision. The results presented are mostly from environmental physics (oceanography) but they will be illuminating and helpful for researchers applying similar methods in other areas.

image Sequence Processing Is Becoming A Tremendous Tool To Analyze Spatio-temporal Data In All Areas Of Natural Science. It Is The Key To Studythe Dynamics Of Of Complex Scientific Phenomena. Methods From Computer Science And The Field Of Application Are Merged Establishing New Interdisciplinary Research Areas.
this Monograph Emerged From Scientific Applications And Thus Is An Example For Such An Interdisciplinaryapproach. It Is Addressed Both To Computer Scientists And To Researchers From Other Fields Who Are Applying Methods Of Computer Vision. The Results Presented Are Mostly From Environmental Physics (oceanography) But They Will Be Illuminating And Helpful For Researchers Applying Similar Methods In Other Areas.

Introduction and overview....Pages 1-13 Image sequence acquisition....Pages 14-62 Kinematics and dynamics of motion....Pages 63-75 Motion in space-time images....Pages 76-109 Fourier transform methods....Pages 110-118 Differential methods....Pages 119-132 Quadrature filter set methods....Pages 133-142 Tensor methods....Pages 143-157 Correlation methods....Pages 158-160 Phase methods....Pages 161-165 Implementation....Pages 166-184 Experimental results....Pages 185-192 Presenting results gleaned from research in environmental physics, this monograph demonstrates how image sequence processing has been used to analyze spatio-temporal data in all areas of natural science