Study and application of lateral inhibition models in image´s contour enhancement

Current methods used in image contour enhancement have the disadvantages such as distortion, replacement, great processing capacity, which restrict realtime application. To overcome the above shortcomings, a method based on lateral inhibition models was designed. The essence of lateral inhibition models and the meanings of parameters in lateral inhibition models were studied, and then the effect with parameters including size of inhibition field, distribution of inhibition modulus, and kinds of lateral inhibition models in image enhancement were analyzed. The effect of image enhancement by acyclic difference lateral inhibition model and acyclic diffluence lateral inhibition model with Gauss distribution was analyzed, and then and selecting principle of parameters were designed. It can be concluded by experiment that acyclic difference lateral inhibition model with Gauss distribution can be realized easily, and it has better effect for image enhancement.