Improvement of Harris algorithm based on Gaussian scale space
Joint Authors
Samir, Rafal Ali
Karim, Abd al-Amir Abd Allah
Source
Engineering and Technology Journal
Issue
Vol. 37, Issue 1B (31 Jan. 2019), pp.1-5, 5 p.
Publisher
Publication Date
2019-01-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Features is the description of the image contents which could be corner, blob or edge.
Corners are one of the most important feature to describe image, therefore there are many algorithms to detect corners such as Harris, FAST, SUSAN, etc.
Harris is a method for corner detection and it is an efficient and accurate feature detection method.
Harris corner detection is rotation invariant but it isn’t scale invariant.
This paper presents an efficient harris corner detector invariant to scale, this improvement done by using gaussian function with different scales.
The experimental results illustrate that it is very useful to use Gaussian linear equation to deal with harris weakness.
American Psychological Association (APA)
Karim, Abd al-Amir Abd Allah& Samir, Rafal Ali. 2019. Improvement of Harris algorithm based on Gaussian scale space. Engineering and Technology Journal،Vol. 37, no. 1B, pp.1-5.
https://search.emarefa.net/detail/BIM-894409
Modern Language Association (MLA)
Karim, Abd al-Amir Abd Allah& Samir, Rafal Ali. Improvement of Harris algorithm based on Gaussian scale space. Engineering and Technology Journal Vol. 37, no. 1B (2019), pp.1-5.
https://search.emarefa.net/detail/BIM-894409
American Medical Association (AMA)
Karim, Abd al-Amir Abd Allah& Samir, Rafal Ali. Improvement of Harris algorithm based on Gaussian scale space. Engineering and Technology Journal. 2019. Vol. 37, no. 1B, pp.1-5.
https://search.emarefa.net/detail/BIM-894409
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 5
Record ID
BIM-894409