Abstract:

An improved continuous ignition intersecting cortical model is presented,which is applied in image enhancement.The new model makes use of the ignition threshold neuron behavior of long-term memory capacity as their feedback combined with external excitation neurons to decide the status value;the threshold attenuation factor is replaced by the transformation of the function,thus a flexibility to select the appropriate attenuation function depending on the applications;the interpretation of the neighborhood is added in the ignition threshold neurons enhancement in order to determine whether the corresponding threshold sudden changes occur,and to realize continuous ignition of the neurons.On this basis,the histogram equalization method is put forward based on FC_ICM in contrast to CLAHE and ICM image enhancement methods.Experimental results show that our method can effectively enhance the global and local contrast and effectively suppress noise.

Key words: intersecting cortical model;image enhancement;continuous ignition;histogram equation