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1. |
Record Nr. |
UNINA9910789064003321 |
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Titolo |
Computational analysis of the human eye with applications / / Sumeet Dua, Rajendra Acharya U., E.Y.K. Ng, editors |
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Pubbl/distr/stampa |
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Hackensack, N.J. : , : World Scientific, , 2011 |
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ISBN |
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1-283-23493-9 |
9786613234933 |
981-4340-30-8 |
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Descrizione fisica |
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1 online resource (467 pages) |
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Altri autori (Persone) |
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DuaSumeet |
Acharya URajendra |
NgY. K. Eddie |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Chapter 1. The Biological and Computational Bases of Vision Hilary W. Thompson; 1.1. Introduction to the Eye; 1.2. The Anatomy of the Human Visual System; 1.3. Neurons; 1.4. Synapses; 1.5. Vision - Sensory Transduction; 1.6. Retinal Processing; 1.7. Visual Processing in the Brain; 1.8. Biological Vision and Computer Vision Algorithms; References; Chapter 2. Computational Methods for Feature Detection in Optical Images Michael Dessauer and Sumeet Dua; 2.1. Introduction to Computational Methods for Feature Detection; 2.2. Preprocessing Methods for Retinal Images |
2.2.1. Illumination Effect Reduction; 2.2.1.1. Non-linear brightness transform; 2.2.1.2. Background identification methods; 2.2.2. Image Normalization and Enhancement; 2.2.2.1. Color channel transformations; 2.2.2.2. Image smoothing through spatial filtering; 2.2.2.3. Local adaptive contrast enhancement; 2.2.2.4. Histogram transformations; 2.3. Segmentation Methods for Retinal Anatomy Detection and Localization; 2.3.1. A Boundary Detection Methods; 2.3.1.1. First-order difference operators; 2.3.1.2. Second-order boundary detection; 2.3.1.3. Canny edge detection |
2.3.2. Edge Linkage Methods for Boundary Detection; 2.3.2.1. Local |
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neighborhood gradient thresholding; 2.3.2.2. Morphological operations for edge link enhancement; 2.3.2.3. Hough transform for edge linking; 2.3.3. Thresholding for Image Segmentation; 2.3.3.1. Segmentation with a single threshold; 2.3.3.2. Multi-level thresholding; 2.3.3.3. Windowed thresholding; 2.3.4. Region-Based Methods for Image Segmentation; 2.3.4.1. Region growing; 2.3.4.2. Watershed segmentation; 2.3.4.3. Matched filter segmentation; 2.4. Feature Representation Methods for Classification; 2.4.1. Statistical Features |
2.4.1.1. Geometric descriptors; 2.4.1.2. Texture features; 2.4.1.3. Invariant moments; 2.4.2. Data Transformations; 2.4.2.1. Fourier descriptors; 2.4.2.2. Principal component analysis (PCA); 2.4.3. Multiscale Features; 2.4.3.1. Wavelet transform; 2.4.3.2. Scale-space methods for feature extraction; 2.5. Summary; References; Chapter 3. Computational Decision Support Systems and Diagnostic Tools in Ophthalmology: A Schematic Survey Sumeet Dua and Mohit Jain; 3.1. Evidence- and Value-Based Medicine; 3.1.1. EBM Process; 3.1.2. Evidence-Based Medical Issues; 3.1.3. Value-Based Evidence |
3.2. Economic Evaluation of the Prevention and Treatment of Vision-Related Diseases; 3.2.1. Economic Evaluation; 3.2.2. Decision Analysis Method; 3.2.3. Advantages of Decision Analysis; 3.2.4. Perspective in Decision Analysis; 3.2.5. Decision Tree in Decision Analysis; 3.3. Use of Information Technologies for Diagnosis in Ophthalmology; 3.3.1. Data Mining in Ophthalmology; 3.3.2. Graphical User Interface; 3.4. Role of Computational System in Curing Disease of an Eye; 3.4.1. Computational Decision Support System: Diabetic Retinopathy; 3.4.1.1. Wavelet-based neural network23; .4.1.2. Content-based image retrieval |
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Sommario/riassunto |
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Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. Interpreting this raw data is a challenging task, and nowhere is this more evident than in the field of opthalmology. The sheer speed at which data on cataracts, diabetic retinopathy, glaucoma and other eye disorders are collected, makes it impossible for the human observer to directly monitor subtle, yet critical details. |
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2. |
Record Nr. |
UNINA9910983058703321 |
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Autore |
Rogos-Hebda Justyna |
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Titolo |
Abbreviating Middle English : Scribal Practices, Visual Texts and Medieval Multimodalities / / by Justyna Rogos-Hebda |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (251 pages) |
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Collana |
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The New Middle Ages, , 2945-5944 |
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Disciplina |
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Soggetti |
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Literature, Medieval |
Europe - History - 476-1492 |
Language and languages - Style |
Philology |
Medieval Literature |
History of Medieval Europe |
Stylistics |
Anglès medieval |
Abreviatures angleses |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1: Introduction -- 2: Abbreviation in pre-modern texts: from Late Antiquity to the Renaissance -- 3: The symbolic properties of abbreviation -- 4: Abbreviation as image -- 5: Abbreviation as a (pseudo-)linguistic element -- 6: Corpus and method -- 7: Abbreviations in late Middle English literary manuscripts: evolution of forms and functions -- 8: Making sense of abbreviation in late Middle English literary manuscripts -- 9: Synopsis and conclusions. |
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Sommario/riassunto |
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Abbreviating Middle English: Scribal practices, Visual Texts and Medieval Multimodalities investigates the changing dynamics of scribal abbreviating practices in a corpus of late Middle English manuscripts of Richard Rolle’s, John Lydgate’s and John Gower’s works and |
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reinterprets these practices from new perspectives of visual pragmatics, medieval multimodalities and visual code-switching. Spanning the boundaries of manuscript studies, cultural semiotics and text-image approaches to pre-modern written sources, the book studies scribal abbreviations and medieval visuality and links them with modern practices of textuality by combining tools and methods of traditional disciplines employed in the study of historical texts as well as those developed for the analyses of modern discourse. Justyna Rogos-Hebda outlines the main directions in abbreviation studies, describes research methods and considers the broader developments in manuscript studies integrating aspects of materialist philology, multimodality theory, visual pragmatics and visual and code-switching into descriptive-analytical models of medieval textualities. Rogos-Hebda aims to problematize abbreviation within the socio-cultural contexts of medieval mentalities, Christian hermeneutics and Middle English multilingualism to unpack the multilayered motivations for the practices of scribal communities. Justyna Rogos-Hebda is Assistant Professor in the Department of the History of English at the Faculty of English, Adam Mickiewicz University, Poland. Her research interests include medieval paleography and codicology, scribal languages, Latin abbreviations, medieval multimodalities, visual pragmatics, paratexts and history of the book. |
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