A novel optimal multilevel thresholding algorithm for image segmentation is presented to deal with RAPD Fingerprint of acinetobacter calcoaceticus-baumannii. The proposed algorithm is an artificial immune network used to optimize multilevel thresholds of image segmentation. In addition, a fast fuzzy clustering technique is used to improve efficiency of the algorithm. Experimental results show that the algorithm can effectively extract fingerprint from the images to facilitate genotyping analysis of RAPD fingerprinting of acinetobacter calcoaceticus-baumannii.
VaneechoutteMDijkshoornLTjernbergIIdentification of Acinetobacter Genomic Species by Amplified Ribosomal DNA Restriction Analysis. Journal of Clinical Microbiology, 1995:11–15.
2.
PalN RPalS K. A review on image segmentation techniques. Pattern Recognition, 1993, 26(9):1277–1294.
3.
TobiasO JSearaR.Image segmentation by histogram thresholding using fuzzy sets. IEEE Transactions on Image Processing, 2002, 11, 1457–1465.
4.
MaitraMChatterjeeA.A hybrid cooperative–comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding. Expert Systems with Applications, 2008, 34:1341–1350.
5.
ZhangZ QChenS C. A novel kernelized fuzzy C-means algorithm with application in medical image segmentation. Artificial Intelligence in Medicine, 2004, 32:37–50.
6.
HungW LYangM SChenD H. Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation. Pattern Recognition Letters, 2006, 27:424–438.
7.
LiuLXuW B. Fuzzy Data Clustering Using Artificial Immune Network. Computational Intelligence, ICIC2006, Kunming, China, 2006:177–182.
8.
LiuL.Parallelizing an Immune-inspired Algorithm for Fuzzy Data Clustering. DCABES2006 Proceedings.Hangzhou, China, 2006: 42–46.
9.
de CastroL NTimmisJ.Artificial immune systems as a novel soft computing paradigm. Soft Computing, 2003, 7(8):526–544.
10.
XieK GZengX HLiC YComparative analysis between immune algorithm and other random searching algorithms. Journal of Chongqing University, 2003, 26(11):43–47, (in Chinese).
11.
de FrancaF OVon ZubenF Jde CastroL.N., An artificial immune network for multimodal function optimization on dynamic environments. Proc. of the GECCO conf, ACM Press, Washington DC, 2005:289–296.
12.
CoelhoL SMarianiV C. Artificial Immune Network Combined with Normative Knowledge for Power Economic Dispatch of Thermal Units. Applications of Soft Computing, 2008, 52:55–64.
13.
ZhouL PGaoX B. A Fast Fuzzy C-Means Clustering Algorithm for image segmentation. Computer Engineering and Applications, 2004, 40(8):68–70, (in Chinese).
