Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection
Joint Authors
Liu, Dujin
Wang, Huajun
Wang, Sen
Pu, Guolin
Deng, Xiaoya
Hou, Xiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
As the color remote sensing image has the most notable features such as huge amount of data, rich image details, and the containing of too much noise, the edge detection becomes a grave challenge in processing of remote sensing image data.
To explore a possible solution to the urgent problem, in this paper, we first introduced the quaternion into the representation of color image.
In this way, a color can be represented and analyzed as a single entity.
Then a novel artificial bee colony method named improved artificial bee colony which can improve the performance of conventional artificial bee colony was proposed.
In this method, in order to balance the exploration and the exploitation, two new search equations were presented to generate candidate solutions in the employed bee phase and the onlookers phase, respectively.
Additionally, some more reasonable artificial bee colony parameters were proposed to improve the performance of the artificial bee colony.
Then we applied the proposed method to the quaternion vectors to perform the edge detection of color remote sensing image.
Experimental results show that our method can get a better edge detection effect than other methods.
American Psychological Association (APA)
Liu, Dujin& Wang, Huajun& Wang, Sen& Pu, Guolin& Deng, Xiaoya& Hou, Xiang. 2015. Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1072980
Modern Language Association (MLA)
Liu, Dujin…[et al.]. Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1072980
American Medical Association (AMA)
Liu, Dujin& Wang, Huajun& Wang, Sen& Pu, Guolin& Deng, Xiaoya& Hou, Xiang. Quaternion-Based Improved Artificial Bee Colony Algorithm for Color Remote Sensing Image Edge Detection. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1072980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072980