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Image Analysis and Recognition
This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017. The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.
Biomedical Image Processing
In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.
The Physics and Engineering of Solid State Lasers
Explains the mutual influences between the physical and dynamic processes in solids and their lasing properties. This book provides insight into the physics and engineering of solid state lasers by integrating information from several disciplines, including solid state physics, materials science, photophysics, and dynamic processes in solids.
Fundamentals of Polarimetric Remote Sensing
This text is for those who need an introduction to polarimetric signals to begin working in the field of polarimetric remote sensing, particularly where the contrast between manmade objects and natural backgrounds are the subjects of interest. The book takes a systems approach to the physical processes involved with formation, collection, and analysis of polarimetric remote sensing data in the visible through longwave infrared. (pBRDF) is then introduced as a way to characterize the reflective and emissive polarimetric behavior of materials. With Dr. Schott's text, you will gain an introduction to polarimetric remote sensing, an appreciation of its issues, and the tools to begin to work in the field.
Infrared Optics and Zoom Lenses
Ten years after the publication of Infrared Optics and Zoom Lenses, this text is still the only current publication devoted exclusively to infrared zoom lenses. This updated second edition includes 18 new refractive and reflective infrared zoom systems, bringing the total number of infrared zoom optical systems to 41 systems. Other additions include a section on focal plane arrays and a new closing chapter specifically devoted to applications of infrared zoom lenses. Coverage of wavelength region has been expanded to include the near infrared. Additional topics include an examination of the importance of principal planes, methods for athermalization by means of computer glass substitution, and global optimization techniques for zoom lens design.
Artificial Neural Networks
This tutorial text provides the reader with an understanding of artificial neural networks (ANNs), and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed, and the data collection processes, to the many ways ANNs are being used today. The material is presented with a minimum of math (although the mathematical details are included in the appendices for interested readers), and with a maximum of hands-on experience. All specialized terms are included in a glossary. The result is a highly readable text that will teach the engineer the guiding principles necessary to use and apply artificial neural networks.
Mathematical Morphology and Its Applications to Image and Signal Processing
Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry. MM was initiated in the late 1960s by G. Matheron and J. Serra at the Fontainebleau School of Mines in France. Originally it was applied to analyzing images from geological or biological specimens. However, its rich theoretical framework, algorithmic efficiency,...
Metrics for High-quality Specular Surfaces
This book supplies the optical component and systems designer, and quality assurance engineers and managers with the definitions, measurement principles, and standard metrics used to characterize high-quality specular surfaces. The author covers both the traditional visual methods as well as newer (but not necessarily better) computer-aided techniques and describes the metrics adopted by the new ISO standards, including the setting of form and finish tolerances. Key issues of industry are raised, to help stimulate research and development of new methods and standards that blend the best of the old and new approaches to surface assessment.
Mathematical Morphology: 40 Years On
Mathematical Morphology is a speciality in Image Processing and Analysis, which considers images as geometrical objects, to be analyzed through their interactions with other geometrical objects. It relies on several branches of mathematics, such as discrete geometry, topology, lattice theory, partial differential equations, integral geometry and geometrical probability. It has produced fast and efficient algorithms for computer analysis of images, and has found applications in bio-medical imaging, materials science, geoscience, remote sensing, quality control, document processing and data analysis. This book contains the 43 papers presented at the 7th International Symposium on Mathematical Morphology, held in Paris on April 18-20, 2005. It gives a lively state of the art of current research topics in this field. It also marks a milestone, the 40 years of uninterrupted development of this ever-expanding domain.
Logic-based Nonlinear Image Processing
This text provides insight into the design of optimal image processing operators for implementation directly into digital hardware. Starting with simple restoration examples and using the minimum of statistics, the book provides a design strategy for a wide range of image processing applications. The text is aimed principally at electronics engineers and computer scientists, but will also be of interest to anyone working with digital images.
