书目名称 | Introduction to Medical Image Analysis |
编辑 | Rasmus R. Paulsen,Thomas B. Moeslund |
视频video | http://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 |  |
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 |
doi | https://doi.org/10.1007/978-3-030-39364-9 |
isbn_softcover | 978-3-030-39363-2 |
isbn_ebook | 978-3-030-39364-9Series ISSN 1863-7310 Series E-ISSN 2197-1781 |
issn_series | 1863-7310 |
copyright | Springer Nature Switzerland AG 2020 |