A 3-D CA-BASED EDGE OPERATOR FOR 3-D IMAGES (MA-P1)

Author(s) : Sartra Wongthanavasu (Khon Kaen University, Thailand) Chidchanok Lursinsap (Chulalongkorn University, Thailand)

Abstract : This paper presents a new edge detector based on a cellular automata model. A uniform cellular automata rule using a 3-D von Neumann neighborhood is proposed for carrying out edge detection on binary and grayscale objects. A computational model and characterization of the state space of the rule are analyzed using a finite state machine. The work shows that a cellular automata-based model provides much better edge maps for both binary and grayscale 3-D images when compared to the 3-D well-known edge operators.

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