CAJ | 학술논문

针对现有计算机视觉理论框架在指导视觉问题中很难克服精度差、受噪声影响大、计算复杂性高的问题,提出仿人的闭环视觉系统模型,引入反馈机制和高层知识的指导,并将其应用到车牌定位系统中.研究结果表明,以该模型实现的仿人视觉车牌定位系统容错性好、准确率高,可以有效地解决光照不均、牌照褪色,以及复杂背景干扰等情况下的车牌定位问题.
침대현유계산궤시각이론광가재지도시각문제중흔난극복정도차、수조성영향대、계산복잡성고적문제,제출방인적폐배시각계통모형,인입반궤궤제화고층지식적지도,병장기응용도차패정위계통중.연구결과표명,이해모형실현적방인시각차패정위계통용착성호、준학솔고,가이유효지해결광조불균、패조퇴색,이급복잡배경간우등정황하적차패정위문제.
Aiming at poor accuracy affected by noise and high complexity of calculating in computer vision theoretical framework guiding vision,a new humanoid vision of the closed-loop system model is put forward, a feedback mechanism and the guidance of high-level knowledge is introduced, and they are applied to vehicle license plate location system. Results show that the system not only can accurately locate vehicle license plate and have high fault tolerance, but also can effectively solve location problem under the circumstance of uneven illumination, depigmentation or complex environments interferences.