Xem 1-16 trên 16 kết quả Digital reconstructions
  • Beginning with modest initial attempts in roughly the 1960s, digital image processing has become a recognized field of science, as well as a broadly accepted methodology, to solve practical problems in many different kinds of human activities. The applications encompass an enormous range, starting perhaps with astronomy, geology, and physics, via medical, biological, and ecological imaging and technological exploitation, up to the initially unexpected use in humane sciences, e.g., archaeology or art history.

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  • We live in a time when digital information plays a key role in various fields. Whether we look towards communications, industry, medicine, scientific research or entertainment, we find digital images to be heavily employed. The high volume of stored and transacted digital images, together with the increasing availability of advanced digital image acquisition and display techniques and devices, came with a growing need for novel, fast and intelligent algorithms for the digital manipulation of digital images....

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  • We live in a time when digital information plays a key role in various fields. Whether we look towards communications, industry, medicine, scientific research or entertainment, we find digital images to be heavily employed. The high volume of stored and transacted digital images, together with the increasing availability of advanced digital image acquisition and display techniques and devices, came with a growing need for novel, fast and intelligent algorithms for the digital manipulation of digital images....

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  • This chapter introduce sampling and reconstruction. After studying this chapter you will be able to: Sampling theorem, spectrum of sampling signals, anti-aliasing pre-filter, analog reconstruction. Inviting you refer.

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  • Lecture Digital signal processing - Lecture 4 present sampling and reconstruction. The main contents of this chapter include all of the following: Periodic sampling, „frequency domain representation, reconstruction, changing the sampling rate using discretetime processing.

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  • Computed tomography is the process of reconstructing the interiors of objects from data collected based on transmitted or emitted radiation. The problem occurs in a wide range of application areas. Here we discuss the computer algorithms used for achieving the reconstructions. 26.2 The Reconstruction Problem We want to solve the following general problem. There is a three-dimensional structure whose internal composition is unknown to us. We subject this structure to some kind of

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  • This volume, in the ITECH Vision Systems series of books, reports recent advances in the use of pattern recognition techniques for computer and robot vision. The sciences of pattern recognition and computational vision have been inextricably intertwined since their early days, some four decades ago with the emergence of fast digital computing. All computer vision techniques could be regarded as a form of pattern recognition, in the broadest sense of the term.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

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  • Studies were also carried out on digitally-reconstructed radical prostatectomy specimens which showed the inadequacy of the traditional sextant biopsy method. In one study by Chen et al., simulation biopsy strategies were conducted on whole-mount radical prostatectomy specimens from 180 patients and it was found that only 73% of cancers were detected by sextant biopsy (Chen et al., 1997).

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  • Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài: A digital photographic method for 3D reconstruction of standing tree shape...

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Application of Super-resolution Image Reconstruction to Digital Holography

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  • This volume was developed from a symposium dedicated to Jack McIntosh presented at the 2001 Society of Vertebrate Paleontology annual meeting, which we convered with Dan Chure. We thank Jack McIntosh for allowing us to organize a symposium in his honor. We also thank the participants of that symposium, most of whom authored chapters in this volume, for their excellent papers and patience throughout the process of bringing this book to publication. We especially thank Blake Edgar (UC Press) for initially supporting this project and his continual guidance throughout....

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  • Some environments have developed policies and laws that forbid certain events from occurring. An incident is an event or sequence of events that violate a policy and more specifically, a crime is an event or sequence or events that violate a law. In particular, a digital incident is one or more digital events that violate a policy. In response to an incident or crime, an investigation may begin. An investigation is a process that develops and tests hypotheses to answer questions about events that occurred.

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  • There are in principle two tests that may be used in mass screening, PSA (prostate specific antigen) and DRE (digital rectal examination). The PSA test is simple, cheap, safe and acceptable. However the prostatic biopsy, required to investigate positive results, is less acceptable and carries significant risks. The accuracy (sensitivity and specificity) of the PSA test is difficult to determine (4). There is no good standard against which to test it, since prostatic biopsy may itself miss 10% to 30% of cases.

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  • IMAGE SAMPLING AND RECONSTRUCTION In digital image processing systems, one usually deals with arrays of numbers obtained by spatially sampling points of a physical image. After processing, another array of numbers is produced, and these numbers are then used to reconstruct a continuous image for viewing. Image samples nominally represent some physical measurements of a continuous image field, for example, measurements of the image intensity or photographic density. Measurement uncertainties exist in any physical measurement apparatus....

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  • SAMPLING AND RECONSTRUCTION WITH INTERSAMPLE ERROR A fundamental requirement of sampled-data systems is the sampling of continuoustime signals to obtain a representative set of numbers that can be used by a digital computer. The primary goal of this chapter is to provide an understanding of this process. The first section explores theoretical aspects of sampling and the formal considerations of signal recovery, including ideal Wiener filtering in signal interpolation. Aliasing of signal and noise are considered next in a detailed development involving a heterodyne basis of evaluation. ...

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