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Titlebook: Introduction to Medical Image Analysis; Rasmus R. Paulsen,Thomas B. Moeslund Textbook 2020 Springer Nature Switzerland AG 2020 Medical Ima

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书目名称Introduction to Medical Image Analysis
编辑Rasmus R. Paulsen,Thomas B. Moeslund
视频videohttp://file.papertrans.cn/474/473896/473896.mp4
概述Easily accessible even to those who do not have a strong mathematical background.Offers a concise introductory treatment.Simply explains and clearly illustrates the key algorithms and concepts
丛书名称Undergraduate Topics in Computer Science
图书封面Titlebook: Introduction to Medical Image Analysis;  Rasmus R. Paulsen,Thomas B. Moeslund Textbook 2020 Springer Nature Switzerland AG 2020 Medical Ima
描述.This easy-to-follow textbook presents an engaging introduction to the fascinating world of medical image analysis. Avoiding an overly mathematical treatment, the text focuses on intuitive explanations, illustrating the key algorithms and concepts in a way which will make sense to students from a broad range of different backgrounds..Topics and features: explains what light is, and how it can be captured by a camera and converted into an image, as well as how images can be compressed and stored; describes basic image manipulation methods for understanding and improving image quality, and a useful segmentation algorithm; reviews the basic image processing methods for segmenting or enhancing certain features in an image, with a focus on morphology methods for binary images; examines how to detect, describe, and recognize objects in an image, and how the nature of color can be used for segmenting objects; introduces a statistical method to determine what class of object the pixelsin an image represent; describes how to change the geometry within an image, how to align two images so that they are as similar as possible, and how to detect lines and paths in images; provides further exer
出版日期Textbook 2020
关键词Medical Imaging; Medical Imagery; Image Processing; Image Analysis; Image Segmentation; Image Registratio
版次1
doihttps://doi.org/10.1007/978-3-030-39364-9
isbn_softcover978-3-030-39363-2
isbn_ebook978-3-030-39364-9Series ISSN 1863-7310 Series E-ISSN 2197-1781
issn_series 1863-7310
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Undergraduate Topics in Computer Sciencehttp://image.papertrans.cn/i/image/473896.jpg
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Image Storage and Compression,Images are normally stored on storage devices like the internal memory of a camera or on a hard disk. To be able to store an image, an image format needs to be defined and a method to compress the image. In this chapter, a brief overview of image storage formats and compression is given.
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978-3-030-39363-2Springer Nature Switzerland AG 2020
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Color Images,tandard red, green, blue (RGB) representation is described together with less used but very important color spaces like the hue, saturation, and value (HSV) color space. Finally, it is described how thresholding can be used in color images.
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Geometric Transformations,is chapter, we start by covering affine transformation, including translation, scaling, rotation, and shearing. It is described how a transformation can be performed using matrices and how inverse mapping is used with bilinear interpolation to avoid sampling artifacts. Finally, some non-linear transformations are briefly described.
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