Computer Vision: Artificial intelligence, Strong AI, Digital image processing, Image processing, List of computer vision topics, Machine learning, ... Glossary of machine vision, Medical imaging - Brossura

 
9786130201395: Computer Vision: Artificial intelligence, Strong AI, Digital image processing, Image processing, List of computer vision topics, Machine learning, ... Glossary of machine vision, Medical imaging

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for: Controlling processes (e.g. an industrial robot or an autonomous vehicle), detecting events (e.g. for visual surveillance or people counting), organizing information (e.g. for indexing databases of images and image sequences), modeling objects or environments (e.g. industrial inspection, medical image analysis or topographical modeling), interaction (e.g. as the input to a device for computer-human interaction). Computer vision can also be described as a complement (but not necessarily the opposite) of biological vision.

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Présentation de l'éditeur

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for: Controlling processes (e.g. an industrial robot or an autonomous vehicle), detecting events (e.g. for visual surveillance or people counting), organizing information (e.g. for indexing databases of images and image sequences), modeling objects or environments (e.g. industrial inspection, medical image analysis or topographical modeling), interaction (e.g. as the input to a device for computer-human interaction). Computer vision can also be described as a complement (but not necessarily the opposite) of biological vision.

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