DocumentCode
3157891
Title
Image segmentation by resonance algorithm
Author
Dai, Fengzhi ; Fujihara, Yutaka ; Sugisaka, Masanori
Author_Institution
Dept. of Control Eng., Matsue Coll. of Technol., Matsue
fYear
2008
fDate
20-22 Aug. 2008
Firstpage
2018
Lastpage
2022
Abstract
Computer vision and recognition plays more important role on intelligent control. In this paper, the image segmentation is done by the resonance theory. Resonance algorithm is an unsupervised method to generate the region (feature space) from similar pixels (feature vectors) in an image. It tolerates gradual changes of texture to some extent for image segmentation. The purpose of the paper is to propose a practical method for image segmentation, which is always the first step to control a real intelligent control system.
Keywords
computer vision; image segmentation; intelligent control; resonance; computer vision; feature vector; image segmentation; intelligent control system; resonance algorithm; resonance theory; Automatic control; Computer vision; Control systems; Image recognition; Image segmentation; Intelligent control; Intelligent sensors; Layout; Pixel; Resonance; Image segmentation; Natural scene; Resonance algorithm; Seed pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference, 2008
Conference_Location
Tokyo
Print_ISBN
978-4-907764-30-2
Electronic_ISBN
978-4-907764-29-6
Type
conf
DOI
10.1109/SICE.2008.4654993
Filename
4654993
Link To Document