计算机工程与应用2016，Vol.52Issue(24)：210-216,7.DOI:10.3778/j.issn.1002-8331.1606-0110
考虑微动机制与感受野特性的轮廓检测模型
Contour detection model with movement mechanism based on receptive field prop-erties
摘要
Abstract
Contour detection is one of the key steps in the field of target recognition. Human visual system has excellent ability to extract target contour from cluttered scenes by using inhibition properties that can suppress the responses of cen-tral neurons in primary visual cortex(V1 area). According to this physiological properties, traditional models employ ring-formed area to modulate distance weighting. Based on previous studies, a model in consideration of eye movement mechanism is proposed. Different from other models, eight sub-templates are established with uniformly-spaced orienta-tions to modulate the eye movement mechanism, fixed numbers setting in peripheral region. The final inhibition response is computed in competition with different responses of sub-template. Compared with previous studies, the proposed model has a better performance evaluation. Note that this model can retain more object contour and inhibit more textures.关键词
轮廓检测/非经典感受野/人眼微动/初级视觉皮层Key words
contour detection/non-classical receptive field/eye movement/primary visual cortex分类
信息技术与安全科学引用本文复制引用
林川,李亚,曹以隽..考虑微动机制与感受野特性的轮廓检测模型[J].计算机工程与应用,2016,52(24):210-216,7.基金项目
国家自然科学基金(No.61563005) （No.61563005）
广西自然科学基金(No.2015GXNSFAA139293) （No.2015GXNSFAA139293）
广西教育厅科研项目(No.YB2014214) （No.YB2014214）
广西科技大学研究生教育创新计划项目(No.GKYC201620). （No.GKYC201620）
