DocumentCode :
131375
Title :
Cellular automaton based pixel-level snakes
Author :
Fujita, Takashi ; Sawada, Syo ; Iwanaga, Kaihei ; Kumaki, Takeshi ; Nakanishi, Masaki ; Ogura, Tsuneo
Author_Institution :
Dept. of Electron. & Comput. Eng., Ritsumeikan Univ., Kusatsu, Japan
fYear :
2014
fDate :
22-25 June 2014
Firstpage :
393
Lastpage :
396
Abstract :
A new version of Pixel Level Snake (PLS), which is an image segmentation algorithm, is proposed. The proposed algorithm is based on processes of Cellular Automaton (CA). In CA, the forces of resistance to stretch and bending are defined by the CA rule, and comparing these forces and the gradients of image pixels determines deforming of the active contour. The CA based PLS consists of simple transition rules, and therefore easy implementation and high speed processing are expected on our dedicated hardware engine. In our experiments, we confirmed the feasibility of the image segmentation with the CA based PLS.
Keywords :
cellular automata; image resolution; image segmentation; CA based PLS; CA rule; bending resistance; cellular automaton based pixel-level snakes; image pixels; image segmentation algorithm; stretch resistance; Active contours; Automata; Computational modeling; Computer architecture; Force; Hardware; Microprocessors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2014 IEEE 12th International
Conference_Location :
Trois-Rivieres, QC
Type :
conf
DOI :
10.1109/NEWCAS.2014.6934065
Filename :
6934065
Link To Document :
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