Title :
A 3D CA-based edge operator for 3D images
Author :
Wongthanavasu, S. ; Lursinsap, C.
Author_Institution :
Dept. of Comput. Sci., Khon Kaen Univ., Thailand
Abstract :
The paper presents a new 3D edge detector based on a cellular automata model. A uniform cellular automata rule using a 3D von Neumann neighborhood is proposed for carrying out edge detection on binary and gray-scaled 3D images. The work shows that a cellular automata-based model provides better edge maps for binary and gray-scaled objects when compared to the well-known 3D edge operators.
Keywords :
cellular automata; edge detection; knowledge based systems; 3D edge detection; 3D images; 3D von Neumann neighborhood; binary images; cellular automata model; gray-scaled images; Automata; Computer science; Content addressable storage; Detectors; Gray-scale; Image edge detection; Image processing; Spatiotemporal phenomena; Testing; Very large scale integration;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1418733
