Multiscale Statistical Methods for the Segmentation of Signals and Images - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiscale Statistical Methods for the Segmentation of Signals and Images write by Michael Klaus Schneider. This book was released on 1997. Multiscale Statistical Methods for the Segmentation of Signals and Images available in PDF, EPUB and Kindle.
Multiscale Methods for the Segmentation of Images
Multiscale Methods for the Segmentation of Images - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiscale Methods for the Segmentation of Images write by Michael Klaus Schneider. This book was released on 1996. Multiscale Methods for the Segmentation of Images available in PDF, EPUB and Kindle.
Statistical Image Processing and Multidimensional Modeling
Statistical Image Processing and Multidimensional Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Image Processing and Multidimensional Modeling write by Paul Fieguth. This book was released on 2010-10-17. Statistical Image Processing and Multidimensional Modeling available in PDF, EPUB and Kindle. Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.
Multiscale Segmentation of Microscopic Images
Multiscale Segmentation of Microscopic Images - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiscale Segmentation of Microscopic Images write by Dimiter Prodanov. This book was released on 2020. Multiscale Segmentation of Microscopic Images available in PDF, EPUB and Kindle. The chapter introduces multiscale methods for image analysis and their applications to segmentation of microscopic images. Specifically, it presents mathematical morphology and linear scale-space theories as overarching signal processing frameworks without excessive mathematical formalization. The chapter introduces several differential invariants, which are computed from parametrized Gaussian kernels and their derivatives. The main application of this approach is to build a multidimensional multiscale feature space, which can be subsequently used to learn characteristic fingerprints of the objects of interests. More specialized applications, such as anisotropic diffusion and detection of blob-like and fiber-like structures, are introduced for two-dimensional images, and extensions to three-dimensional images are discussed. Presented approaches are generic and thus have broad applicability to time-varying signals and to two- and three-dimensional signals, such as microscopic images. The chapter is intended for biologists and computer scientists with a keen interest in the theoretical background of the employed techniques and is in part conceived as a tutorial.
Nanoscale Photonic Imaging
Nanoscale Photonic Imaging - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nanoscale Photonic Imaging write by Tim Salditt. This book was released on 2020-06-09. Nanoscale Photonic Imaging available in PDF, EPUB and Kindle. This open access book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work effectively in the field of nanoscale photonic imaging, from physical first principles, to instrumentation, to mathematical foundations of imaging and data analysis. Subsequent chapters demonstrate how these cutting edge methods are applied to a variety of systems, including complex fluids and biomolecular systems, for visualizing their structure and dynamics, in space and on timescales extending over many orders of magnitude down to the femtosecond range. Progress in nanoscale photonic imaging in Göttingen has been the sum total of more than a decade of work by a wide range of scientists and mathematicians across disciplines, working together in a vibrant collaboration of a kind rarely matched. This volume presents the highlights of their research achievements and serves as a record of the unique and remarkable constellation of contributors, as well as looking ahead at the future prospects in this field. It will serve not only as a useful reference for experienced researchers but also as a valuable point of entry for newcomers.
