The Chosen Image
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| Author | : Jonathan Pearl |
| Publisher | : McFarland |
| Total Pages | : 280 |
| Release | : 1999 |
| Genre | : Performing Arts |
| ISBN | : 9780786405220 |
By the time he had concluded twelve years on prime-time television, Archie Bunker had raised a Jewish child in his home, befriended a black Jew, gone into business with a Jewish partner, enrolled as a member of Temple Beth Shalom, eulogized his close friend at a Jewish funeral, hosted a Friday evening Sabbath dinner, participated in a bar mitzvah ceremony, and joined a group to fight synagogue vandalism. While the famed style of All in the Family was unique, its inclusions of Jews and Jewish issues was far from unusual. On the whole, Jewish issues have been portrayed with respect and relative depth during five decades of television programming. This work documents and examines the portrayal of Jewish themes in popular prime time television, from 1948 through the 1996-1997 television season, focusing on how such topics as anti-Semitism, intermarriage, Jewish lore and traditions, Israel, the Holocaust, and questions of Jewish identity have been featured in numerous television genres. How real-life attitudes about Jews and Jewish issues are reflected in television portrayals is also explored.
| Author | : Venkatesan Rajinikanth |
| Publisher | : CRC Press |
| Total Pages | : 119 |
| Release | : 2020-11-19 |
| Genre | : Computers |
| ISBN | : 1000228339 |
A Beginner’s Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images) Presents a detailed evaluation in real-time application, including the need for heuristic algorithm, the choice of objective and threshold function, and the evaluation of the outcome Describes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholding Illustrates integration of the thresholding technique with bio-inspired algorithms Includes current findings and future directions of image multi-level thresholding and its practical implementation Emphasizes the need for multi-level thresholding with suitable examples The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.
| Author | : Philip Fine |
| Publisher | : Frontiers Media SA |
| Total Pages | : 374 |
| Release | : 2020-01-31 |
| Genre | : |
| ISBN | : 2889632172 |
| Author | : Soumya Ranjan Nayak |
| Publisher | : Elsevier |
| Total Pages | : 320 |
| Release | : 2024-05-27 |
| Genre | : Computers |
| ISBN | : 0443184690 |
Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis. Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlight the relevance of related application areas for advanced as well as novice-user application. The book presents an in-depth look at core concepts, methodological aspects, and advanced feature opportunities, focusing on major real time applications in engineering science and health science. The book will appeal to researchers, data scientists, industry professionals, and graduate students in the fields of fractal graphics and its related applications. - Investigates advanced fractal theories spanning neural networks, fuzzy logic, machine learning, deep learning, and hybrid intelligent systems in solving pattern recognition problems - Explores the application of fractal theories to a wide range of medical image processing modalities - Presents case studies that illustrate the application and integration of fractal theories into intelligent computing in the resolution of important pattern recognition and machine vision problems
| Author | : Venkatesan Rajinikanth |
| Publisher | : CRC Press |
| Total Pages | : 177 |
| Release | : 2021-01-29 |
| Genre | : Computers |
| ISBN | : 1000300188 |
In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing
| Author | : Christian Barillot |
| Publisher | : Springer |
| Total Pages | : 967 |
| Release | : 2004-09-02 |
| Genre | : Medical |
| ISBN | : 3540301356 |
The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004wasstronglyencouragedandsupportedbyIRISA, Rennes. IRISA is a publicly funded national research laboratory with a sta? of 370,including150full-timeresearchscientistsorteachingresearchscientistsand 115 postgraduate students. INRIA, the CNRS, and the University of Rennes 1 are all partners in this mixed research unit, and all three organizations were helpful in supporting MICCAI. MICCAI has become a premier international conference with in-depth - pers on the multidisciplinary ?elds of medical image computing, comput- assisted intervention and medical robotics. The conference brings together cl- icians, biological scientists, computer scientists, engineers, physicists and other researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The impact of MICCAI increases each year and the quality and quantity of submitted papers this year was very impressive. We received a record 516 full submissions (8 pages in length) and 101 short communications (2 pages) from 36 di?erent countries and 5 continents (see ?gures below). All submissions were reviewed by up to 4 external reviewers from the Scienti?c Review C- mittee and a primary reviewer from the Program Committee. All reviews were then considered by the MICCAI 2004 Program Committee, resulting in the acceptance of 235 full papers and 33 short communications.
| Author | : Nicholas Ayache |
| Publisher | : Springer |
| Total Pages | : 689 |
| Release | : 2012-09-22 |
| Genre | : Computers |
| ISBN | : 3642334547 |
The three-volume set LNCS 7510, 7511, and 7512 constitutes the refereed proceedings of the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, held in Nice, France, in October 2012. Based on rigorous peer reviews, the program committee carefully selected 252 revised papers from 781 submissions for presentation in three volumes. The third volume includes 79 papers organized in topical sections on diffusion imaging: from acquisition to tractography; image acquisition, segmentation and recognition; image registration; neuroimage analysis; analysis of microscopic and optical images; image segmentation; diffusion weighted imaging; computer-aided diagnosis and planning; and microscopic image analysis.
| Author | : Amanda Jenkins |
| Publisher | : BroadStreet Publishing Group LLC |
| Total Pages | : 148 |
| Release | : 2021-02-02 |
| Genre | : Religion |
| ISBN | : 1424561647 |
Pick up where the best-selling book one left off. The Chosen Book Two features forty brand-new devotions that contain a Scripture, a unique look into a Gospel story, suggestions for prayer, and questions that lead you further in your relationship with Christ. Foreword by Alex Kendrick.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 837 |
| Release | : 2021-02-05 |
| Genre | : Technology & Engineering |
| ISBN | : 1799886018 |
Mobile technologies have become a staple in society for their accessibility and diverse range of applications that are continually growing and advancing. Users are increasingly using these devices for activities beyond simple communication including gaming and e-commerce and to access confidential information including banking accounts and medical records. While mobile devices are being so widely used and accepted in daily life, and subsequently housing more and more personal data, it is evident that the security of these devices is paramount. As mobile applications now create easy access to personal information, they can incorporate location tracking services, and data collection can happen discreetly behind the scenes. Hence, there needs to be more security and privacy measures enacted to ensure that mobile technologies can be used safely. Advancements in trust and privacy, defensive strategies, and steps for securing the device are important foci as mobile technologies are highly popular and rapidly developing. The Research Anthology on Securing Mobile Technologies and Applications discusses the strategies, methods, and technologies being employed for security amongst mobile devices and applications. This comprehensive book explores the security support that needs to be required on mobile devices to avoid application damage, hacking, security breaches and attacks, or unauthorized accesses to personal data. The chapters cover the latest technologies that are being used such as cryptography, verification systems, security policies and contracts, and general network security procedures along with a look into cybercrime and forensics. This book is essential for software engineers, app developers, computer scientists, security and IT professionals, practitioners, stakeholders, researchers, academicians, and students interested in how mobile technologies and applications are implementing security protocols and tactics amongst devices.
| Author | : Joy Iong-Zong Chen |
| Publisher | : Springer Nature |
| Total Pages | : 840 |
| Release | : 2021-09-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3030847608 |
This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications. The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.
