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《ACTA ELECTRONICA SINICA》 2000-01
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Random Time Division Neural Computational Theory for Self-excitation Enhancement of Visual Curves

GUO Lei; LIU Tian-ming; (Northwest polytechnic University,Xi'an 710072 China)  
The mutual excitation between the local stimuli satisfying the rules of curve distribution (position and orientation continuity) called curve self-excitation is a useful method to discover and enhance curves and to inhibit noise. The Present approaches used parallel connection structure division which did not acquire effect. This paper presents the idea of random time division and dynamic self-excitation, for different curves performing random time-division Searches, time coincidence filtering, and Self excitation accumulation . The Principle is given.
【Fund】: 国家自然科学基金!(NO.69625507);; 国家重点基础研究发展规划、863计划等资助课题
【CateGory Index】: TP391.41
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