Title :
Image segmentation by resonance algorithm
Author :
Dai, Fengzhi ; Fujihara, Yutaka ; Sugisaka, Masanori
Author_Institution :
Dept. of Control Eng., Matsue Coll. of Technol., Matsue
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;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4654993
