Random time-division operation for salience of visual contours

The mutual excitation among the local stimuli satisfying curve distribution (position and orientation continuity) called self-excitation of curves here is an effective method for the discovery and enhancement of visual curves. This article presents a new method using dynamic time-division curve searches and self-excitation. The searches realized by random walks of active particles are guided by inputs, limited by the rules of curve distribution, performed repetitively, and temporally divided for different curve candidates. The time-division operations play an extremely important role in avoiding both the structure division used previously and the global memory of various search routes.