IMAGE SEGMENTATION BASED ON LOCALLY EXCITATORY GLOBALLY INHIBITORY OSCILLATOR NETWORK
基于局部兴奋全局抑制振荡网络的图像分割

An image segmentation scheme was presented on the basis of locally excitatory, globally inhibitory oscillator network (LEGION). Based on the concept of the lateral potential, a solution to remove noisy regions in an image was proposed for LEGION. The temporal evolution of every stimulated oscilltor and network properties were illustrated by computer simulation. The dynamic connection weight addressing the grouping principles of proximity, similarity and connectedness was setup. Using HSI space, the dynamic connection weight emphasizing the Hue information was established, and better experimental results than that based on RGB space were obtained.