DocumentCode :
493658
Title :
Measurement of Inhibition Zone Based on Cellular Automata Edge Detection Method
Author :
Men, Hong ; Zhang, Juan ; Wang, Caihong
Author_Institution :
Sch. of Autom. Eng., Northeast Dianli Univ., Jilin
Volume :
2
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
357
Lastpage :
360
Abstract :
A new method to use edge-detection of inhibition zone is proposed. Color image was processed by translating into gray image, removing noise, threshold segment and extracted edge. Edge detection based on traditional method and three kinds of Cellular Automata (CA) methods are applied. The results show the superiority of morphological gradient method of CA.
Keywords :
cellular automata; edge detection; feature extraction; gradient methods; image colour analysis; image denoising; image segmentation; cellular automata edge detection method; color image analysis; edge extraction; inhibition zone measurement; morphological gradient method; noise removal; threshold segment method; Adaptive filters; Antibiotics; Biomedical imaging; Color; Filtering; Gaussian noise; Gray-scale; Image edge detection; Image segmentation; Wiener filter; CA; edge-detection; inhibition zone;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.341
Filename :
4959055
Link To Document :
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