Image Processing, Analysis and Machine Vision
Image Processing, Analysis and Machine Vision
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DOI：
10.1007/978-1-4899-3216-7
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发表时间：
1993
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影响因子：
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通讯作者：
M. Sonka;Václav Hlaváč;R. Boyle
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文献类型：
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作者：
M. Sonka;Václav Hlaváč;R. Boyle
图像处理、分析和机器视觉代表了现代认知和计算机科学的一个令人兴奋的部分。在七十年代的兴趣爆炸之后，八十年代的特点是该领域的成熟和积极应用的显著增长；遥感、技术诊断、自动驾驶汽车制导和医学成像是发展最快的领域。这一进步可以从市场上越来越多的软件和硬件产品以及世界各地大学开设的数字图像处理和机器视觉课程中看到。在我们所涉及的领域中有许多可用的文本——大多数（实际上，我们所知道的全部）都在本书的某个地方被引用。然而，这一学科的“初级”水平（适合开始或完成这一主题研究的本科生或硕士生）的教材缺乏，而且已经发生并仍在发生的非常迅速的发展，使过去十年左右生产的一些非常好的教科书迅速老化。本书反映了作者在各自机构教授数字图像处理，数字图像分析，机器视觉，模式识别和智能机器人的一学期和两个学期本科和研究生课程的经验。
Image Processing, Analysis and Machine Vision represent an exciting part of modern cognitive and computer science. Following an explosion of inter est during the Seventies, the Eighties were characterized by the maturing of the field and the significant growth of active applications; Remote Sensing, Technical Diagnostics, Autonomous Vehicle Guidance and Medical Imaging are the most rapidly developing areas. This progress can be seen in an in creasing number of software and hardware products on the market as well as in a number of digital image processing and machine vision courses offered at universities world-wide. There are many texts available in the areas we cover-most (indeed, all of which we know) are referenced somewhere in this book. The subject suffers, however, from a shortage of texts at the'elementary'level-that appropriate for undergraduates beginning or completing their studies of the topic, or for Master's students-and the very rapid developments that have taken and are still taking place, which quickly age some of the very good text books produced over the last decade or so. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, Pattern Recognition and Intelligent Robotics at their respective institutions.