DocumentCode :
688520
Title :
Training cellular automata for image thinning and thickening
Author :
Shukla, Anand Prakash ; Chauhan, Shubhika ; Agarwal, Sankalp ; Garg, Hitendra
Author_Institution :
Dept. of Comput. Sci. & Eng., Krishna Inst. of Eng. & Technol., Ghaziabad, India
fYear :
2013
fDate :
26-27 Sept. 2013
Firstpage :
394
Lastpage :
400
Abstract :
Cellular Automata is significantly applying to image processing operations. The description about the use of training of cellular automata for thinning and thickening of binary images is exemplified by this paper. The selection of best rule set from large search space has been performed on the basis of objective function MatchedCount values between standard function and CA rules applied to images. The proposed method is also compared with some standard methods.
Keywords :
cellular automata; image reconstruction; CA rules; MatchedCount values; binary images; cellular automata training; image processing operations; image thickening; image thinning; Cellular Automata; Image Processing; Matched Count value; Rule Set; Thinning and Thickening; bwmorph ();
fLanguage :
English
Publisher :
iet
Conference_Titel :
Confluence 2013: The Next Generation Information Technology Summit (4th International Conference)
Conference_Location :
Noida
Electronic_ISBN :
978-1-84919-846-2
Type :
conf
DOI :
10.1049/cp.2013.2346
Filename :
6832362
Link To Document :
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