The Method of Image Segmentation Based on Spiking Cortical Model
WANG Chen
FAN Yang-yu
LI Bo
XIONG Lei
Abstract：Image segmentation algorithm is sensitive to intensity of illumination.The different intensity im-ages are not usually segregated availably based on one kind of algorithm,and therefore in this paper a method of image segmentation based on Spiking Cortical Model (SCM)is proposed.Firstly,choosing dif-ferent stages membership function to approximate characteristics of dynamic thresholding attenuation.Sec-ondly,choosing the different criterion function to suit for different intensity image based on the difference of bright image and dark image.The Experiments show that proposed algorithm could obtain the segmen-tation result availably and more details information of image.And it has the stronger robustness,which is better than the improved pulse-coupled neural networks、the improved Intersecting Cortical Model (ICM) and two-dimension OTSU.
Keywords：image segmentationspiking cortical model (SCM)pulse-coupled neural networks (PCNN)intersecting cortical model (ICM)two-dimension OTSU
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 53-57 )