2010年中国图像工程年度综述:新进展与文献分析

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"中国图像工程 文章" 这篇文献是中国图像工程领域的年度综述,由章毓晋教授撰写,发表在2011年第5期的《中国图象图形学报》上,主要关注2010年中国在图像工程领域的研究成果和技术应用。通过对2010年国内15种重要中文期刊上发表的3251篇相关文献进行筛选,作者挑选出782篇具有代表性的图像工程文献,并将这些文献按照图像处理、图像分析、图像理解、技术应用和综述五个大类进行分类,每个大类下又细分了23个小类。这一工作旨在为国内从事图像工程研究和应用的科技人员提供全面了解该领域现状和查阅相关文献的便利。 在2010年的文献统计和分析中,我们可以看出图像工程在中国的发展趋势和新进展。文献计量学方法的应用使得我们能对不同期刊、各类文献的分布和趋势有更深入的理解。国家自然科学基金支持的研究项目也在其中起到了关键作用,例如基金项目编号60872084,可能资助了一些重要的图像工程研究。 图像处理是图像工程的基础,涵盖图像增强、复原、压缩等技术,这些技术在2010年的文献中占据了重要位置,反映了在图像质量提升和数据传输效率优化方面的持续努力。图像分析则涉及图像特征提取、模式识别等,这部分文献揭示了在图像理解和智能分析上的进步。图像理解部分可能涵盖了深度学习、计算机视觉等前沿领域,这些技术在2010年可能已经有了显著的提升。 技术应用部分的文献可能包括了图像工程在各个行业的实际应用,如医学成像、遥感、安防监控等,展示了图像技术如何推动实际问题的解决。综述类文献则提供了对整个领域的宏观视角和未来趋势的探讨,对于研究人员来说,这些综述是了解图像工程最新动态的重要资源。 通过对这些文献的深入分析,可以发现中国在图像工程领域的研究涵盖了从基础理论到实际应用的广泛范围,表明中国的科研机构和学者在这个领域有着积极的参与和贡献。同时,这样的年度综述也有助于促进学术交流,推动图像工程领域的进一步发展。
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Image Engineering Vol.1_Image Processing-Tsinghua University(2017) Image Engineering Vol.2_Image Analysis-Tsinghua University(2017) Image Engineering Vol.3_Image Understanding-Tsinghua University(2017) This book is the Volume I of “Image Engineering,” which is focused on “Image Processing,” the low layer of image engineering. This book has grown out of the author’s research experience and teaching prac- tices for full-time undergraduate and graduate students at various universities, as well as for students and engineers taking summer courses, in more than 20 years. It is prepared keeping in mind the students and instructors with the principal object- ive of introducing basic concepts, theories, methodologies, and techniques of image engineering in a vivid and pragmatic manner. Image engineering is a broad subject encompassing other subjects such as computer science, electrical and electronic engineering, mathematics, physics, physiology, and psychology. Readers of this book should have some preliminary back- ground in one of these areas. Knowledge of linear system theory, vector algebra, probability, and random process would be beneficial but may not be necessary. This book consists of eight chapters covering the main branches of image pro- cessing. It has totally 55 sections, 99 subsections, with 164 figures, 25 tables, and 473 numbered equations, in addition to 60 examples and 96 problems (the solutions for 16 of them are provided in this book). Moreover, over 200 key references are given at the end of book for further study. This book can be used for the first course “Image Processing” in the course series of image engineering, for undergraduate students of various disciplines such as computer science, electrical and electronic engineering, image pattern recognition, information processing, and intelligent information systems. It can also be of great help to scientists and engineers doing research and development in connection within related areas. Special thanks go to De Gruyter and Tsinghua University Press, and their staff members. Their kind and professional assistance are truly appreciated. Last but not least, I am deeply indebted to my wife and my daughter for their encouragement, patience, support, tolerance, and understanding during the writing of this book.