Image Registration: Principles, Tools And Methods (advances In Computer Vision And Pattern Recognition)
by A. Ardeshir Goshtasby /
2012 / English / PDF
9.1 MB Download
This book presents a thorough and detailed guide to image
registration, outlining the principles and reviewing
state-of-the-art tools and methods. The book begins by identifying
the components of a general image registration system, and then
describes the design of each component using various image analysis
tools. The text reviews a vast array of tools and methods, not only
describing the principles behind each tool and method, but also
measuring and comparing their performances using synthetic and real
data. Features: discusses similarity/dissimilarity measures, point
detectors, feature extraction/selection and
homogeneous/heterogeneous descriptors; examines robust estimators,
point pattern matching algorithms, transformation functions, and
image resampling and blending; covers principal axes methods,
hierarchical methods, optimization-based methods, edge-based
methods, model-based methods, and adaptive methods; includes a
glossary, an extensive list of references, and an appendix on PCA.
This book presents a thorough and detailed guide to image
registration, outlining the principles and reviewing
state-of-the-art tools and methods. The book begins by identifying
the components of a general image registration system, and then
describes the design of each component using various image analysis
tools. The text reviews a vast array of tools and methods, not only
describing the principles behind each tool and method, but also
measuring and comparing their performances using synthetic and real
data. Features: discusses similarity/dissimilarity measures, point
detectors, feature extraction/selection and
homogeneous/heterogeneous descriptors; examines robust estimators,
point pattern matching algorithms, transformation functions, and
image resampling and blending; covers principal axes methods,
hierarchical methods, optimization-based methods, edge-based
methods, model-based methods, and adaptive methods; includes a
glossary, an extensive list of references, and an appendix on PCA.
