Graphical Models

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Graphical Models is an academic journal in computer graphics and geometry processing publisher by Elsevier. As of 2021, its editor-in-chief is Bedrich Benes of the Purdue University. [1]

Contents

History

This journal has gone through multiple names. [2] Founded in 1972 as Computer Graphics and Image Processing [3] by Azriel Rosenfeld, it became the first journal to focus on computer image analysis. [4] [5] Its first change of name came in 1983, when it became Computer Vision, Graphics, and Image Processing. [6] In 1991 it split into two journals, CVGIP: Graphical Models and Image Processing, [7] and CVGIP: Image Understanding, which later became Computer Vision and Image Understanding. [8] Meanwhile, in 1995, the journal Graphical Models and Image Processing removed the "CVGIP" prefix from its former name, [9] and finally took its current title, Graphical Models, in 2002. [10]

Ranking

Although initially ranked by SCImago Journal Rank as a top-quartile journal in 1999 in its main topic areas, computer graphics and computer-aided design, and then for many years ranked as second-quartile, by 2020 it had fallen to the third quartile. [11]

Related Research Articles

Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.

<span class="mw-page-title-main">Avinash Kak</span> Indian American mathematician

Avinash C. Kak is a professor of Electrical and Computer Engineering at Purdue University who has conducted pioneering research in several areas of information processing. His most noteworthy contributions deal with algorithms, languages, and systems related to networks, robotics, and computer vision. Born in Srinagar, Kashmir, he did his Bachelors in BE at University of Madras and Phd in Indian Institute of Technology Delhi. He joined the faculty of Purdue University in 1971.

Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face.

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Digital geometry deals with discrete sets considered to be digitized models or images of objects of the 2D or 3D Euclidean space. Simply put, digitizing is replacing an object by a discrete set of its points. The images we see on the TV screen, the raster display of a computer, or in newspapers are in fact digital images.

<span class="mw-page-title-main">Scientific visualization</span> Interdisciplinary branch of science concerned with presenting scientific data visually

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<span class="mw-page-title-main">Azriel Rosenfeld</span>

Azriel Rosenfeld was an American Research Professor, a Distinguished University Professor, and Director of the Center for Automation Research at the University of Maryland, College Park, Maryland, where he also held affiliate professorships in the Departments of Computer Science, Electrical Engineering, and Psychology, and a talmid chochom. He held a Ph.D. in mathematics from Columbia University (1957), rabbinic ordination (1952) and a Doctor of Hebrew Literature degree (1955) from Yeshiva University, honorary Doctor of Technology degrees from Linkoping University (1980) and Oulu University (1994), and an honorary Doctor of Humane Letters degree from Yeshiva University (2000); he was awarded an honorary Doctor of Science degree from the Technion. He was a Fellow of the Association for Computing Machinery (1994).

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References

  1. Editorial board: Graphical Models, Elsevier, retrieved 2021-10-03
  2. Nixon, Mark (2013), "1.6.1 Journals and magazines", Feature Extraction and Image Processing, Elsevier, pp. 24–25, ISBN   9780080506258
  3. "Computer Graphics and Image Processing", Articles & issues, Elsevier, retrieved 2021-10-03
  4. Davis, Larry S., ed. (2012), Foundations of Image Understanding, The Springer International Series in Engineering and Computer Science, vol. 628, Springer, p. x, ISBN   9781461515296
  5. Davis, Larry (October 2004), "In Memory of Azriel Rosenfeld", International Journal of Computer Vision, Springer Science and Business Media {LLC}, 60 (1): 3–4, doi:10.1023/b:visi.0000036299.15461.72
  6. "Computer Vision, Graphics, and Image Processing", Articles & issues, Elsevier, retrieved 2021-10-03
  7. "CVGIP: Graphical Models and Image Processing", Articles & issues, Elsevier, retrieved 2021-10-03
  8. Zhang, Yujin (2017), Image Understanding, Tsinghua University Press and Walter de Gruyter GmbH, p. 5, ISBN   9783110524130
  9. "Graphical Models and Image Processing", Articles & issues, Elsevier, retrieved 2021-10-03
  10. "Graphical Models", Articles & issues, Elsevier, retrieved 2021-10-03
  11. "Graphical Models", SCImago Journal Rank, retrieved 2021-10-03