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This book presents the proceedings of the 8th International Conference on Image Analysis and Processing, ICIAP '95, held in Sanremo, Italy in September 1995 under the sponsorship of the International Association of Pattern Recognition IAPR. The volume presents 108 papers selected from more than 180 submissions together with six invited contributions. The papers are written by a total of 265 contributing authors and give a comprehensive state-of-the-art report on all current issues of image analysis and processing. Theoretical aspects are addressed as well as systems design and advanced applications, particularly in medical imaging.
"Discusses all types of surgery so will be applicable to nurse working in all settings where they will encounter patients recovering from surgery. The nursing care is underpinned by the relevant research findings to ensure evidence-based practice. Focuses on nursing role and so is relevant to readers' needs. Relevant A&P and relevant pathophysiology are covered to aid understanding of the common disorders that require surgical intervention. Learning objectives assist study Use of care plans and case studies help relate theory to practice Boxes highlight key points and examples to aid study A full glossary of key terms aids comprehension Summaries of key points aid revision "--Elsevier website.
The two volumes LNCS 8814 and 8815 constitute the thoroughly refereed proceedings of the 11th International Conference on Image Analysis and Recognition, ICIAR 2014, held in Vilamoura, Portugal, in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in the following topical sections: image representation and models; sparse representation; image restoration and enhancement; feature detection and image segmentation; classification and learning methods; document image analysis; image and video retrieval; remote sensing; applications; action, gestures and audio-visual recognition; biometrics; medical image processing and analysis; medical image segmentation; computer-aided diagnosis; retinal image analysis; 3D imaging; motion analysis and tracking; and robot vision.
Images play an outstanding role in the transfer of knowledge. They are used in numerous academic disciplines to present scientific results. Digital tools such as Adobe Photoshop make it possible to display the information in images brilliantly and clearly - at the same time the line between appropriate and inappropriate manipulation is not always easy to draw. Scientific journals have published guidelines for handling and editing images, but they are not always specific enough to provide clarity for all situations. „Shaping Images" examines how scholars from biology, information science, art history and design deal with this uncertainty - how they process and manipulate images, where they see their special potential and how they draw the line between appropriate and inappropriate image manipulation. The work also looks at scientific journals and lets selected editors have their say: What would have to happen to make it possible to combat image manipulation in science more effectively? The book's interdisciplinary approach makes it clear how different the practices are and how different the views are on what should be allowed in the processing of images. Images - this too is problematized in the book - are always a means to a certain end, which is precisely why the handling of images should be thoroughly reflected upon.
This book constitutes the refereed proceedings of the 11th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2023, held in Alicante, Spain, in June 27–30, 2023. The 56 papers accepted for these proceedings were carefully reviewed and selected from 86 submissions. They deal with Machine Learning, Document Analysis, Computer Vision, 3D Computer Vision, Computer Vision Applications, Medical Imaging & Applications, Machine Learning Applications.
In this book the author's theoretical framework builds on linguistic and psychological research, arguing that similar image-schematic notions should be grouped together into interconnected family hierarchies, with complexity increasing with regard to the addition of spatial and conceptual primitives. She introduces an image schema logic as a language to model image schemas, and she shows how the semantic content of image schemas can be used to improve computational concept invention. The book will be of value to researchers in artificial intelligence, cognitive science, psychology, and creativity.