What is Document Mosaicing Document mosaicing is a process that stitches multiple, overlapping snapshot images of a document together to produce one large, high resolution composite. The document is slid under a stationary, over-the-desk camera by hand until all parts of the document are snapshotted by the camera's field of view. As the document slid under the camera, all motion of the document is coarsely tracked by the vision system. The document is periodically snapshotted such that the successive snapshots are overlap by about 50%. The system then finds the overlapped pairs and stitches them together repeatedly until all pairs are stitched together as one piece of document. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Document Mosaicing Chapter 2: Image Stitching Chapter 3: Demosaicing Chapter 4: Document Layout Analysis Chapter 5: Rolling Shutter Chapter 6: Camera Auto-Calibration Chapter 7: Computer Stereo Vision Chapter 8: Rigid Motion Segmentation Chapter 9: Image Texture Chapter 10: Image Rectification (II) Answering the public top questions about document mosaicing. (III) Real world examples for the usage of document mosaicing in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Document Mosaicing.

Neorealists argue that all states aim to acquire power and that state cooperation can therefore only be temporary, based on a common opposition to a third country. This view condemns the world to endless conflict for the indefinite future. Based upon careful attention to actual historical outcomes, this book contends that, while some countries and leaders have demonstrated excessive power drives, others have essentially underplayed their power and sought less position and influence than their comparative strength might have justified. Featuring case studies from across the globe, History and Neorealism examines how states have actually acted. The authors conclude that leadership, domestic politics, and the domain (of gain or loss) in which they reside play an important role along with international factors in raising the possibility of a world in which conflict does not remain constant and, though not eliminated, can be progressively reduced.

The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive HyperSpectral Imaging (PHSI) and Recursive HyperSpectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing, while a book, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (Springer 2016) can be considered as its companion book.

The antebellum culture of Harrison County (birthplace of George Armstrong Custer) and the surrounding five-county area of Appalachian east Ohio was an outspoken, democratic society—and a way station of the Underground Railroad for escaping slaves. With the coming of the Civil War, this community faced momentous change and bitter divisions. This narrative history provides a portrait of the area and the ways in which the war affected everyone. Portions of letters and diaries from the soldiers and those who loved them, illustrations and maps are included.

Advances in Hyperspectral Image Processing Techniques Authoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications Advances in Hyperspectral Image Processing Techniques is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored and have led to various new directions in the past few years. The work gathers an array of disparate research into one resource and explores its numerous applications across a wide variety of disciplinary areas. In particular, it includes an introductory chapter on fundamentals of HSI and a chapter on extensive use of HSI techniques in satellite on-orbit and on-board processing to aid readers involved in these specific fields. The book’s content is based on the expertise of invited scholars and is categorized into six parts. Part I provides general theory. Part II presents various Band Selection techniques for Hyperspectral Images. Part III reviews recent developments on Compressive Sensing for Hyperspectral Imaging. Part IV includes Fusion of Hyperspectral Images. Part V covers Hyperspectral Data Unmixing. Part VI offers different views on Hyperspectral Image Classification. Specific sample topics covered in Advances in Hyperspectral Image Processing Techniques include: Two fundamental principles of hyperspectral imaging Constrained band selection for hyperspectral imaging and class information-based band selection for hyperspectral image classification Restricted entropy and spectrum properties for hyperspectral imaging and endmember finding in compressively sensed band domain Hyperspectral and LIDAR data fusion, fusion of band selection methods for hyperspectral imaging, and fusion using multi-dimensional information Advances in spectral unmixing of hyperspectral data and fully constrained least squares linear spectral mixture analysis Sparse representation-based hyperspectral image classification; collaborative hyperspectral image classification; class-feature weighted hyperspectral image classification; target detection approach to hyperspectral image classification With many applications beyond traditional remote sensing, ranging from defense and intelligence, to agriculture, to forestry, to environmental monitoring, to food safety and inspection, to medical imaging, Advances in Hyperspectral Image Processing Techniques is an essential resource on the topic for industry professionals, researchers, academics, and graduate students working in the field.

This book is a compilation of research work in the interdisciplinary areas of electronics, communication, and computing. This book is specifically targeted at students, research scholars and academicians. The book covers the different approaches and techniques for specific applications, such as particle-swarm optimization, Otsu’s function and harmony search optimization algorithm, triple gate silicon on insulator (SOI)MOSFET, micro-Raman and Fourier Transform Infrared Spectroscopy (FTIR) analysis, high-k dielectric gate oxide, spectrum sensing in cognitive radio, microstrip antenna, Ground-penetrating radar (GPR) with conducting surfaces, and digital image forgery detection. The contents of the book will be useful to academic and professional researchers alike.

At the end of his tether, Solomon Wenku contemplates a life gone awry amid widespread postcolonial squalor. Tani enters his life supposedly as a contrast to his encroaching existential gloom only to speed up the pace of his total collapse. Sanya Osha’s cult novel beams a searchlight on what it feels like to survive personally and collectively in unyielding tropical malaise. This web of a narrative pits the rural versus the urban, tradition against modernity with a gallery of immortal characters and with a yearning that sings lushly of freedom.