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Image processing --- Photography --- Digital techniques. --- Digital techniques.

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For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed. Key Features Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description Includes image data pre-processing for neural networks and deep learning Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline Details complications to resolve using image pre-processing

Image processing --- Digital techniques.

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Computer industry. --- Computational techniques.

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This book introduces the fundamental concepts of modern digital image processing. It aims to help the students, scientists, and practitioners to understand the concepts through clear explanations, illustrations and examples. The discussion of the general concepts is supplemented with examples from applications and ready-to-use implementations of concepts in MATLAB®. Program code of some important concepts in programming language 'C' is provided. To explain the concepts, MATLAB® functions are used throughout the book. MATLAB® Version 9.3 (R2017b), Image Acquisition Toolbox Version 5.3 (R2017b), Image Processing Toolbox, Version 10.1 (R2017b) have been used to create the book material. Meant for students and practicing engineers, this book provides a clear, comprehensive and up-to-date introduction to Digital Image Processing in a pragmatic manner.

Image processing. --- Digital techniques.

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Messy Images sind Bilder, die verstören. Messy images können technische Gründe haben - etwa visuelle Unschärfen und Störungen (glitches), akustisches Rauschen, verlustreiche Umformatierungen (lossy compression), stockende Bilder aufgrund von Zwischenspeicherung (buffering). Sie können von menschlichen Akteur:innen bewusst hergestellt werden - etwa in Form unübersichtlicher Bildkompilationen, Collagen oder Text-Bild-Ton-Anordnungen - oder zufällig existieren. Gleichwohl kann der Eindruck der messiness auch in den Übergängen zwischen technischen und menschlichen Akteur:innen, zwischen Netzwerken, Institutionen, Archiven und Algorithmen entstehen. Mit dem Themenschwerpunkt «Messy Images» lädt Montage AV dazu ein, die Unübersichtlichkeit und Unordnung digital vernetzter Bilder anhand konkreter Phänomene, Teilaspekte und Methoden zu erforschen.

Image processing --- Digital techniques.