Development of Image Engineering in the Last 20 Years

Development of Image Engineering in the Last 20 Years

Yu-Jin Zhang (Tsinghua University, China)
Copyright: © 2018 |Pages: 12
DOI: 10.4018/978-1-5225-2255-3.ch113

Abstract

This chapter provides a summary of a bibliography series on image engineering (IE) for twenty years. This bibliography series has already contains more than 12000 publications selected from more than 50000 publications in IE related journals. Twenty years ago, a bibliography series on IE have been started. With a set of carefully selected journals and a thoroughly reading on the papers published, several hundreds of papers related to IE have been chosen each year for further classification and statistical analysis. This work has been made already for consecutive 20 years. This chapter will present an overview of this survey series by showing the ideas behind and consideration on this work, as well as the comprehensive statistics obtained from this work. Some insights from it are also discussed.
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Background

For image engineering that is a new discipline, its scope is first described.

Key Terms in this Chapter

Image: An entity that was captured by some visual systems in looking at the real world and that can be sensed to produce perception. It is a representation, likeness, or imitation of an object or thing, a vivid or graphic description, something introduced to represent something else.

Image Understanding (IU): One of three layers of image engineering, which transforms data extracted from images into certain commonly understood descriptions, and makes subsequent decisions and actions according to the interpretation of the images.

Image Techniques: A collection of various branches of techniques for processing (such as acquiring, capturing, sensing, storing, enhancing, filtering, debluring, inpainting, transforming, coding, transmitting, manipulating, etc .) analyzing (such as segmenting, representing, describing, featuring, measuring, classifying, recognizing), and understanding (such as modeling, registrating, matching, reconstructing, training, learning, reasoning, interpreting, etc .) images.

Image Engineering (IE): An integrated discipline/subject comprising the study of all the different branches of image and video techniques. As a general term for all image techniques, it could be considered as a broad subject encompassing mathematics, physics, biology, physiology, psychology, electrical engineering, computer science, automation, etc. Its advances are also closely related to the development of telecommunications, biomedical engineering, remote sensing, document processing, industrial applications, etc.

Image Analysis (IA): One of three layers of image engineering, which is concerned with the extraction of information (by meaningful measurements with descriptive parameters) from an image (especially from interesting objects).

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