Welcome to the InfoSci Platform
Some Algorithms on Detection of Corner Points for Digital Images

Some Algorithms on Detection of Corner Points for Digital Images

Muhammad Sarfraz
Copyright: © 2020 |Pages: 18
ISBN13: 9781799844440|ISBN10: 1799844447|EISBN13: 9781799844457
DOI: 10.4018/978-1-7998-4444-0.ch011
Cite Chapter Cite Chapter

MLA

Sarfraz, Muhammad. "Some Algorithms on Detection of Corner Points for Digital Images." Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies, edited by Muhammad Sarfraz, IGI Global, 2020, pp. 201-218. https://doi.org/10.4018/978-1-7998-4444-0.ch011

APA

Sarfraz, M. (2020). Some Algorithms on Detection of Corner Points for Digital Images. In M. Sarfraz (Ed.), Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies (pp. 201-218). IGI Global. https://doi.org/10.4018/978-1-7998-4444-0.ch011

Chicago

Sarfraz, Muhammad. "Some Algorithms on Detection of Corner Points for Digital Images." In Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies, edited by Muhammad Sarfraz, 201-218. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-4444-0.ch011

Export Reference

Mendeley
Favorite

Abstract

Detecting corner points for the digital images is based on determining significant geometrical locations. Corner points lead and guide for providing significant clues for shape analysis and representation. They actually provide significant features of an object, which can be used in different phases of processing. In shape analysis problems, for example, a shape can be efficiently reformulated in a compact way and with sufficient accuracy if the corners are properly located. This chapter selects seven well referred algorithms from the literature to review, compare, and analyze empirically. It provides an overview of these selected algorithms so that users can easily pick an appropriate one for their specific applications and requirements.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.