Title :
OTSU Image Segmentation Algorithm with Immune Computation Optimized PCNN Parameters
Author :
Gao, Kanglin ; Dong, Mei ; Jia, Fuping ; Gao, Mingjun
Author_Institution :
Coll. of Manage. Sci. & Eng., Shandong Univ. of Finance & Econ., Jinan, China
Abstract :
Segmentation of digital image is an important link in digital image processing. According to the improved algorithm of PCNN´s basic simplified model (Pulse Coupled Neural Network, PCNN) and the theory of immune algorithm the paper has studied the realization of intelligent OTSU image segmentation method and made a design of the OTSU image segmentation immune algorithm with self-adaptive determination of parameters. Through experimentation the algorithm has been proved effective and achieved a good result.
Keywords :
image segmentation; neural nets; OTSU; PCNN parameters; digital image processing; image segmentation algorithm; immune computation; pulse coupled neural network; self-adaptive determination; simplified model; Educational institutions; Ignition; Image segmentation; Mathematical model; Neurons; Sociology; Statistics;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6341953
